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Интеллектуальный анализ данных

Требуется помощь в преобразовании раздела Информатика и вычислительная техника

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Idea Group Publishing, 2002. — 300 p. — ISBN 1930708254. This book is a repository of research papers describing the applications of modern heuristics to data mining. This is a unique–and as far as we know, the first–book that provides up-to-date research in coupling these two topics of modern heuristics and data mining. Although it is by all means an incomplete coverage, it does...
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Книга в формате EPUB . Wiley, 2014. — 456 p. — ISBN: 978-1-118-72796-6. Learn the art and science of predictive analytics — techniques that get results . Predictive analytics is what translates big data into meaningful, usable business information. Written by a leading expert in the field, this guide examines the science of the underlying algorithms as well as the...
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Wiley Interdisciplinary Reviews: Computational Statistics, 2010. Статья, посвященная использованию Метода Главных Компонент (Principal Component Analysis): Выделение важной информации из множества данных, описывающих объекты. Один из основных способов уменьшить размерность данных, потеряв наименьшее количество информации. Применяется во многих областях, таких как распознавание...
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New York: Springer, 2002. - The proliferation of massive data sets brings with it a series of special computational challenges. This "data avalanche" arises in a wide range of scientific and commercial applications. With advances in computer and information technologies, many of these challenges are beginning to be addressed by diverse inter-disciplinary groups, that indude...
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Blackwell, 2007. — 303 p. — ISBN 978-3-7643-7987-2. Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into...
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Springer, 2015. — 456 p. — (Annals of Information Systems). — ISBN: 9783319078113, EISBN: 9783319078120 Abou-Nasr M., Lessmann S., Stahlbock R., Weiss G.M. (Eds.) Data mining applications range from commercial to social domains, with novel applications appearing swiftly; for example, within the context of social networks. The expanding application sphere and social reach of...
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Springer, 2019. — 861 p. — ASIN B07LBL6D62 This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research work by academicians and industrial experts in the field...
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Springer, 2019. — 885 p. — ISBN 978-9811314971. This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research work by academicians and industrial experts in the...
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Springer, 2019. — 889 p. — ISBN 9789811315008. This book features research papers presented at the International Conference on Emerging Technologies in Data Mining and Information Security (IEMIS 2018) held at the University of Engineering & Management, Kolkata, India, on February 23–25, 2018. It comprises high-quality research work by academicians and industrial experts in the...
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Springer, 2006. — 275 p. Swarm Intelligence is an innovative distributed intelligent paradigm for solving optimization problems that originally took its inspiration from the biological examples by swarming, flocking and herding phenomena in vertebrates. Data Mining is an analytic process designed to explore large amounts of data in search of consistent patterns and/or systematic...
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Springer, 2009. — 327 p. Along the years, rough set theory has earned a well-deserved reputation as a sound methodology for dealing with imperfect knowledge in a simple though mathematically sound way. This edited volume aims at continue stressing the benefits of applying rough sets in many real-life situations while still keeping an eye on topological aspects of the theory as...
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Издательство InTech, 2013, -292 pp. Heuristic Search is an important sub-discipline of optimization theory and finds applications in a vast variety of fields, including life science and engineering. Over the years, search methods have made an increasing number of appearances in engineering systems, primarily because of the capability in providing effective near-optimum...
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Pasadena: AMLbook.com, 2012. — 201 p. — ISBN 978-1-60049-006-4. This book i s designed fo r a short course on machine learning. It i s a short course, not a hurried course. From over a decade of teaching this material, we have distilled what we believe to be the core topics that every student of the subject should know. We chose the title 'learning from data' that faithfully...
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World Scientific Publishing, 2018. — 187 p. — ISBN 978-1-78634-539-4 . As an emerging discipline, data science broadly means different things across different areas. Exploring the relationship of data science with statistics, a well-established and principled data-analytic discipline, this book provides insights about commonalities in approach, and differences in emphasis....
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CRC Press, 2017. — 579 p. Nature-Inspired Computing: Physics and Chemistry-Based Algorithms provides a comprehensive introduction to the methodologies and algorithms in nature-inspired computing, with an emphasis on applications to real-life engineering problems. The research interest for Nature-inspired Computing has grown considerably exploring different phenomena observed in...
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Springer, 2015. — 370 p. — (Intelligent Systems Reference Library 79). — ISBN: 9783319132112, 9783319132129 This book presents recent advances in Knowledge discovery in databases (KDD) with a focus on the areas of market basket database, time-stamped databases and multiple related databases. Various interesting and intelligent algorithms are reported on data mining tasks. A...
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Springer, 2014. — 238 p.: 97 illus. — (Intelligent Systems Reference Library 61). — ISBN 978-3-319-03409-6 Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection...
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Information Today, 2015. — 224 p. Harvard Business Review recently named the data scientist described as a high-ranking professional with the training and curiosity to make discoveries in the world of Big Data as "the sexiest job of the 21st century." Librarians and information professionals have always worked with data in order to meet the information needs of their constituents,...
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Rijeka: InTech, 2012. — 284 p. — ISBN 978-953-51-0535-0. Semantics is the research area touching the diversified domains such as: Philosophy, Information Science, Linguistics, Formal Semantics, Philosophy of Language and its constructs, Query Processing, Semantic Web, Pragmatics, Computational Semantics, Programming Languages, and Semantic Memory etc. The current book is a nice...
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Издательство InTech, 2012. - 278 p. Semantics is the research area touching the diversified domains such as: Philosophy, Information Science, Linguistics, Formal Semantics, Philosophy of Language and its constructs, Query Processing, Semantic Web, Pragmatics, Computational Semantics, Programming Languages, and Semantic Memory etc. The current book is a pleasant combination of...
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Cambridge University Press, 2016. — 293 p. — ISBN 978-1-107-03607-9. Designing algorithms to recommend items such as news articles and movies to users is a challenging task in numerous web applications. The crux of the problem is to rank items based on users' responses to different items to optimize for multiple objectives. Major technical challenges are high dimensional...
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Springer, 2009. — 114 p. This book offers a comprehensive overview of the various concepts and research issues about blogs or weblogs. It introduces techniques and approaches, tools and applications, and evaluation methodologies with examples and case studies. Blogs allow people to express their thoughts, voice their opinions, and share their experiences and ideas. Blogs also...
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CRC Press, 2014. — 707 p. — (Data Mining and Knowledge Discovery Series). — ISBN: 9781466586758 Comprehensive Coverage of the Entire Area of Classification Research on the problem of classification tends to be fragmented across such areas as pattern recognition, database, data mining, and machine learning. Addressing the work of these different communities in a unified way,...
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Springer, 2007. — 365 p. In recent years, the progress in hardware technology has made it possible for organizations to store and record large streams of transactional data. Such data sets which continuously and rapidly grow over time are referred to as data streams. In addition, the development of sensor technology has resulted in the possibility of monitoring many events in...
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Springer, 2013. — 546 p. — ISBN: 978-1461463085, e-ISBN: 978-1461463092. Advances in hardware technology have lead to an ability to collect data with the use of a variety of sensor technologies. In particular sensor notes have become cheaper and more efficient, and have even been integrated into day-to-day devices of use, such as mobile phones. This has lead to a much larger scale...
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Springer Science+Business Media, 2009. — 467 p. — ISBN: 978-0387096896, e-ISBN: 978-0387096902. Series: Advances in Database Systems (Book 35). Managing and Mining Uncertain Data , a survey with chapters by a variety of well known researchers in the data mining field, presents the most recent models, algorithms, and applications in the uncertain data mining field in a...
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Springer, 2011. — 517 p. Social network analysis applications have experienced tremendous advances within the last few years due in part to increasing trends towards users interacting with each other on the internet. Social networks are organized as graphs, and the data on social networks takes on the form of massive streams, which are mined for a variety of purposes. Social...
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Springer, 2015. — 745 p. — ISBN: 3319141414, 9783319141411, 9783319141428 This textbook explores the different aspects of data mining from the fundamentals to the complex data types and their applications, capturing the wide diversity of problem domains for data mining issues. It goes beyond the traditional focus on data mining problems to introduce advanced data types such as...
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Springer, 2018. — 512 p. — ISBN 3319944622. This book covers both classical and modern models in deep learning. The chapters of this book span three categories: The basics of neural networks: Many traditional machine learning models can be understood as special cases of neural networks. An emphasis is placed in the first two chapters on understanding the relationship between...
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Springer, 2016. — 498 p. — ISBN 978-3-319-29657-9. This book comprehensively covers the topic of recommender systems, which provide personalized recommendations of products or services to users based on their previous searches or purchases. Recommender system methods have been adapted to diverse applications including query log mining, social networking, news recommendations, and...
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Springer Science+Business Media, 2008. — 513 p. — ISBN: 978-0387709918, e-ISBN: 978-0387709925. Series: Advances in Database Systems (Book 34). Advances in hardware technology have increased the capability to store and record personal data. This has caused concerns that personal data may be abused. This book proposes a number of techniques to perform the data mining tasks in a...
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Издательство Springer, 2010, -622 pp. The field of graph mining has seen a rapid explosion in recent years because of new applications in computational biology, software bug localization, and social and communication networking. This book is designed for studying various applications in the context of managing and mining graphs. Graph mining has been studied by the theoretical...
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Harvard Business Review Press, 2018. — 272 p. — ISBN 9781633695672. Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world...
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Harvard Business Review Press, 2018. — 272 p. — ISBN 9781633695672. Artificial intelligence does the seemingly impossible, magically bringing machines to life--driving cars, trading stocks, and teaching children. But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world...
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IGI Global, 2018. — 375 p. Data mining techniques are commonly used to extract meaningful information from the web, such as data from web documents, website usage logs, and hyperlinks. Building on this, modern organizations are focusing on running and improving their business methods and returns by using opinion mining. In this book, through introducing the Deep Learning and...
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John Wiley & Sons, Ltd, 2014. — 303 p. — ISBN 9781119977131. Data mining is well on its way to becoming a recognized discipline in the overlapping areas of IT, statistics, machine learning, and AI. Practical Data Mining for Business presents a user-friendly approach to data mining methods, covering the typical uses to which it is applied. The methodology is complemented by case...
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New York: Springer, 2017. - 386 p. This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field. The continued...
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Springer – 2011, 302 pages, 237 illus., 170 in color ISBN: 0857290789, 9780857290793 Time is an exceptional dimension that is common to many application domains such as medicine, engineering, business, science, biography, history, planning, or project management. Understanding time-oriented data enables us to learn from the past in order to predict, plan, and build the future....
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Cambridge University Press, 1980. — 281 p. Prediction by its derivation means literally the stating beforehand of what will happen at some future time. It is an occupational hazard of many professions: meteorologist, doctor, economist, market researcher, engineering designer, politician and pollster. It is indeed a precarious game because any specific prediction can eventually be...
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Springer, 2016. — 282 p. — ISBN: 3319292056, 9783319292052 Authors: Akerkar, Rajendra, Sajja, Priti Srinivas Focuses on methods significantly beneficial in data science, and clearly describes them at an introductory level, with extensions to selected intermediate and advanced techniques Reinforces the machine learning principles with necessary demonstrations in the field of...
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O'Reilly Media, 2018. — 352 p. Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with...
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O'Reilly Media, 2018. — 352 p. Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with...
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O'Reilly Media, 2017. — 73 p. Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau’s popular series of blog posts...
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O'Reilly Media, 2017. — 73 p. Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau’s popular series of blog posts...
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O'Reilly Media, 2017. — 73 p. Streaming data is a big deal in big data these days, and for good reason. Businesses crave ever more timely data, and streaming is a good way to achieve lower latency. Plus, streaming is a much easier way to tame the massive, unbounded data sets that are increasingly common today. Expanded from co-author Tyler Akidau’s popular series of blog posts...
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ISTE/John Wiley, 2010. — 245 p. This book provides a detailed and up-to-date overview on classification and data mining methods. The first part is focused on supervised classification algorithms and their applications, including recent research on the combination of classifiers. The second part deals with unsupervised data mining and knowledge discovery, with special attention...
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Springer, 2018. — 168 p. — (Studies in big data 27). — ISBN 9783319602554, 3319602551, 9783319602547. This book addresses the impacts of various types of services such as infrastructure, platforms, software, and business processes that cloud computing and Big Data have introduced into business. Featuring chapters which discuss effective and efficient approaches in dealing with the...
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IGI Global, 2010. — 516 p. Overcoming many challenges, data mining has already established discipline capability in many domains. The book discusses advances in modern data mining research in today's rapidly growing global and technological environment. A critical mass of the most sought after knowledge, this publication serves as an important reference tool to leading research...
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Springer, 2017. — 367 p. — ISBN 10 9811070970, ISBN 13 978-9811070976. This book discusses the applications of different soft computing techniques for the web-based systems and services. The respective chapters highlight recent developments in the field of soft computing applications, from web-based information retrieval to online marketing and online healthcare. In each chapter...
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Springer International Publishing, Switzerland, 2017. — 242 p. — (Springer Texts in Education) — ISBN: 9783319443782 This book is the product of the authors’ teaching introductory biology and related science courses at several different colleges and universities, though primarily at Wesleyan University, Middletown, Connecticut (Baker) and Washington University, St. Louis,...
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Springer, 2014. — 273 p. — (Frontiers in Probability and the Statistical Sciences). — ISBN: 1493914707, 9781493914708 This book introduces advanced undergraduate, graduate students and practitioners to statistical methods for ranking data. An important aspect of nonparametric statistics is oriented towards the use of ranking data. Rank correlation is defined through the notion of...
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Independently published, 2019. — 272 р. — ISBN 978-1793223012. New 2019 Edition! Build Deeper is a complete and practical guide that can help you take the first few steps in deep learning. It will guide you step-by-step, from understanding the basic concepts, to building your first practical application. Deep Learning is the latest iteration of AI. Although the concept itself has...
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Springer, 2018. — 285 р. — (Advances in Analytics and Data Science). — ISBN 978-3-319-95663-3. This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field....
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Springer, 2018. — 285 р. — (Advances in Analytics and Data Science). — ISBN 978-3-319-95663-3. This book introduces text analytics as a valuable method for deriving insights from text data. Unlike other text analytics publications, Practical Text Analytics: Maximizing the Value of Text Data makes technical concepts accessible to those without extensive experience in the field....
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Springer, 2011. — 819 p. — ISBN: 3642170978, 9783642170973 Series: Intelligent Systems Reference Library, Vol. 5 Knowledge can be modeled and computed using computational mathematical methods, then lead to real world conclusions. The strongly related to that Computational Analysis is a very large area with lots of applications. This monograph includes a great variety of...
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Wiley, 2013. – 209 p. – 2nd ed. – ISBN: 1119967546, 9781119967545 Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of...
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Springer, 2005. — 202 p. — (Multiagent Systems, Artificial Societies, and Simulated Organizations Series 14). — ISBN 978-0-387-24352-8. This book addresses the arguably challenging problem of generating intelligence from data and transferring it to a separate, possibly autonomous, software entity. In its generality, the definition, generation, and transfer of intelligence is a...
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Packt Publishing, 2015. — 156 p. — ISBN-13 9781782174820. Hunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes beyond...
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Packt Publishing, 2015. — 156 p. — ISBN-13 9781782174820. Hunk is the big data analytics platform that lets you rapidly explore, analyse, and visualize data in Hadoop and NoSQL data stores. It provides a single, fluid user experience, designed to show you insights from your big data without the need for specialized skills, fixed schemas, or months of development. Hunk goes beyond...
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Packt Publishing, 2016. — 396 p. — ISBN 978-1-78588-440-5. Build world-class enterprise Business Intelligence solutions with MicroStrategy 10. Business intelligence is becoming more important by the day, with cloud offerings and mobile devices gaining wider acceptance and achieving better market penetration. MicroStrategy Reporting Suite is an absolute leader in the BI market and...
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Packt Publishing, 2016. — 396 p. — ISBN 978-1-78588-440-5. Build world-class enterprise Business Intelligence solutions with MicroStrategy 10. Business intelligence is becoming more important by the day, with cloud offerings and mobile devices gaining wider acceptance and achieving better market penetration. MicroStrategy Reporting Suite is an absolute leader in the BI market and...
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Packt Publishing, 2016. — 396 p. — ISBN 978-1-78588-440-5. Build world-class enterprise Business Intelligence solutions with MicroStrategy 10. Business intelligence is becoming more important by the day, with cloud offerings and mobile devices gaining wider acceptance and achieving better market penetration. MicroStrategy Reporting Suite is an absolute leader in the BI market and...
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Springer, 2009. — 588 p. — (Lecture Notes in Electrical Engineering 14). — ISBN 978-1-4020-8918-3. Advances in Computational Algorithms and Data Analysis contains revised and extended research articles written by prominent researchers participating in a large international conference on Advances in Computational Algorithms and Data Analysis, which was held in UC Berkeley,...
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Издательство Springer, 2010, -241 pp. A large international conference on Advances in Machine Learning and Data Analysis was held in UC Berkeley, CA, USA, October 22–24, 2008, under the auspices of the World Congress on Engineering and Computer Science (WCECS 2008). The WCECS is organized by the International Association of Engineers (IAENG). IAENG is a non-profit international...
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Springer, 2008. — 491 p. The ultimate goal of this book is to bring the fundamental issues of information granularity, inference tools and problem solving procedures into a coherent, unified, and fully operational framework. The objective is to offer the reader a comprehensive, self-contained, and uniform exposure to the subject.The strategy is to isolate some fundamental bricks...
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Springer, 2015. — 754 p. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I. The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in...
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Springer, 2015. — 802 p. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part II. The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in...
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O'Reilly, 2018. - 200p. - ISBN: 1492031852 While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult”but not impossible. With this...
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O'Reilly, 2018. - 200p. - ISBN: 1492031852 While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more difficult”but not impossible. With this...
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O'Reilly Media, 2018. — 179 p. — ISBN 10 1492031852, 13 978-1492031857. EPUB (True/HQ) While tools for analyzing streaming and real-time data are gaining adoption, the ability to visualize these data types has yet to catch up. Dashboards are good at conveying daily or weekly data trends at a glance, though capturing snapshots when data is transforming from moment to moment is more...
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Philadelphia: Society for Industrial and Applied Mathematics, 2016. — 310 p. This book places data assimilation (DA) into the broader context of inverse problems and the theory, methods, and algorithms that are used for their solution. It strives to provide a framework and new insight into the inverse problem nature of DA—the book emphasizes “why” and not just “how.” We cover both...
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Springer, 2004. — 623 p. — ISBN: 978-1-4419-2353-0, e-ISBN: 978-0-387-21840-3. Series: Springer Series in Statistics. Companion book to Robust Diagnostic Regression Analysis (ISBN: 0-387-95017) published by Springer in 2000: /file/1384379/ The forward search provides a method of revealing the structure of data through a mixture of model fitting and informative plots. The...
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Wiley, 2013. — 576 p. — ISBN 978-1-118-39864-7. Complete guidance for mastering the tools and techniques of the digital revolution With the digital revolution opening up tremendous opportunities in many fields, there is a growing need for skilled professionals who can develop data-intensive systems and extract information and knowledge from them. This book frames for the first...
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N.-Y.: Apres, 2015. - 263p. Machine learning techniques provide cost-effective alternatives to traditional methods for extracting underlying relationships between information and data and for predicting future events by processing existing information to train models. Efficient Learning Machines explores the major topics of machine learning, including knowledge discovery,...
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Oxford: Oxford University Press, 2012. — 278 p. — ISBN 0199767106. An introduction to statistical data mining, Data Analysis and Data Mining is both textbook and professional resource. Assuming only a basic knowledge of statistical reasoning, it presents core concepts in data mining and exploratory statistical models to students and professional statisticians-both those working in...
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Jossey-Bass, 2013. — 96 p. — ISBN 1118793412, 9781118793411. Do you communicate data and information to stakeholders? This issue is Part 1 of a two-part series on data visualization and evaluation. In Part 1, we introduce recent developments in the quantitative and qualitative data visualization field and provide a historical perspective on data visualization, its potential role...
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Springer, 2013. — 228 p. — ISBN: 978-1447156062, e-ISBN: 978-1447156079. Advances in Computer Vision and Pattern Recognition This book addresses the challenges of data abstraction generation using a least number of database scans, compressing data through novel lossy and non-lossy schemes, and carrying out clustering and classification directly in the compressed domain....
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Springer-Verlag, Berlin, Heidelberg, 2013. — 285 p. — (Texts in Computational Science and Engineering 9) — ISBN: 9783642310454 Space-filling curves started their “lives” as mathematical curiosities, at the end of the nineteenth century. The idea that a one-dimensional curve may completely cover an area or a volume was, at that time, completely novel and counterintuitive....
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Wiley, 2015. — 400 p. — (Wiley and SAS business). Detect fraud earlier to mitigate loss and prevent cascading damage Fraud Analytics Using Descriptive, Predictive, and Social Network Techniques is an authoritative guidebook for setting up a comprehensive fraud detection analytics solution. Early detection is a key factor in mitigating fraud damage, but it involves more...
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Издательство ACM Press, 1999, -517 pp. Information retrieval (IR) has changed considerably in recent years with the expansion of the World Wide Web and the advent of modern and inexpensive graphical user interfaces and ma.ss stora.ge devices. As a result, traditional IR textbooks have become quite out of date and this has led to the introduction of new IR books. Nevertheless,...
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Massachusetts Institute of Technology, Neural Information Processing Series, 2007. — 360 p. ISBN: 0262026171, 978-0262026178. Machine learning develops intelligent computer systems that are able to generalize from previously seen examples. A new domain of machine learning, in which the prediction must satisfy the additional constraints found in structured data, poses one of...
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Springer, 2012. — 726 p. — ISBN: 3642339409, 9783642339417 This volume contains the Proceedings of the 5thInternational Workshop on Soft Computing Applications (SOFA 2012). The book covers a broad spectrum of soft computing techniques, theoretical and practical applications employing knowledge and intelligence to find solutions for world industrial, economic and medical...
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Springer, 2013. – 343 p. – ISBN: 1461441501, 9781461441502 Text Mining with MATLAB provides a comprehensive introduction to text mining using MATLAB. It’s designed to help text mining practitioners, as well as those with little-to-no experience with text mining in general, familiarize themselves with MATLAB and its complex applications. The first part provides an introduction...
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Springer, 1992. — 351 p. Having been concerned with problems of mathematical statistics in the sixtieth and seventieth, especially with regression analysis and optimal experimental design, we noticed that the hard conditions about the model and the probability law are rarely satisfied and checked in practice, and that classical probability theory usually models and takes into...
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In this book, we bring together research articles by active practitioners reporting recent advances in the field of knowledge discovery, where the information is mined from complex data, such as unstructured text from the world-wide web, databases naturally represented as graphs and trees, geoscientific data from satellites and visual images, multimedia data and bioinformatic...
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Cambridge: Cambridge University Press, 2004. — 541 p. Knowledge management and knowledge-based intelligence are areas of importance in the economy and society, and to exploit them fully and efficiently it is necessary both to represent and reason about knowledge via a declarative interface whose input language is based on logic. In this book, originally published in 2003, Chitta...
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NY: Springer, 2009. — 223 p. — (Studies in Computational Intelligence 249). — ISBN 978-3-642-04004-7. Exploratory data analysis, also known as data mining or knowledge discovery from databases, is typically based on the optimisation of a specific function of a dataset. Such optimisation is often performed with gradient descent or variations thereof. In this book, we first lay the...
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Cambridge University Press, 2012. Корр. от 25 фев. 2014. — 672 p. — ISBN: 978-0521518147. Online-версия книги, периодически исправляемая и дополняемая автором. Книга имеет электронное оглавление и содержит цветные иллюстрации. Замеченные опечатки (errata) отмечены в тексте сиреневым (magenta) цветом, добавления (addenda) к бумажному изданию — синим (blue) цветом. Machine...
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O'Reilly Media, 2015. - 162p. Until recently, many people thought big data was a passing fad. "Data science" was an enigmatic term. Today, big data is taken seriously, and data science is considered downright sexy. With this anthology of reports from award-winning journalist Mike Barlow, you'll appreciate how data science is fundamentally altering our world, for better and for...
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Содержание: Анализ данных. Аналитическая платформа. Эволюция системы. Версия 1. Версия 2. Версия 3. Версия 4"5. Тиражирование знаний. Состав и назначение модулей. Deductor Warehouse. Deductor Studіо. Deductor Viewer. Deductor Server/Client. Решаемые задачи. Истории успеха. Сервисная компания Механика3. Коммерческий банк Стройкредит. Сеть магазинов Дейли....
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Chapman and Hall/CRC, 2009. — 472 p. — ISBN: 978-1584889960. Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the theoretical properties of constraints and constrained clustering algorithms. Bringing these developments together, Constrained Clustering: Advances in Algorithms, Theory, and...
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CRC Press, 2012. — 732 p. Information retrieval systems, especially those accessed over the Internet, are ubiquitous in our globalizing world. Many are wonderfully easy to use, and it is therefore easy to assume that the design and implementation of information systems is a simple and straightforward process. However, systems need to be designed specifically for their intended...
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N.-Y.: Springer, 2006. - 275p. Poor data quality can seriously hinder or damage the efficiency and effectiveness of organizations and businesses. The growing awareness of such repercussions has led to major public initiatives like the "Data Quality Act" in the USA and the "European 2003/98" directive of the European Parliament.Batini and Scannapieco present a comprehensive and...
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Springer, 2015. — 454 p. — ISBN: 9783319149974, 9783319149981 This book provides fresh insights into the cutting edge of multimedia data mining, reflecting how the research focus has shifted towards networked social communities, mobile devices and sensors. The work describes how the history of multimedia data processing can be viewed as a sequence of disruptive innovations....
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Boca Raton: CRC, 2017. — 582 p. Modern Data Science with R is a comprehensive data science textbook for undergraduates that incorporates statistical and computational thinking to solve real-world problems with data. Rather than focus exclusively on case studies or programming syntax, this book illustrates how statistical programming in the state-of-the-art R/RStudio computing...
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IOP Publishing Ltd. , Reprinted with corrections 1991, 223 p. ISBN: 0852742622 Neural computing is one of the most interesting and rapidly growing areas of research, attracting researchers from a wide variety of scientific disciplines. Starting from the basics, Neural Computing covers all the major approaches, putting each in perspective in terms of their capabilities,...
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Springer, 2018. - 895p. - ISBN: 9811080542 The International Conference on “Computational Intelligence in Data Mining” (ICCIDM), after three successful versions, has reached to its fourth version with a lot of aspiration. The best selected conference papers are reviewed and compiled to form this volume. The proceedings discusses the latest solutions, scientific results and methods...
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Springer, 2013. — 387 p. 15th International Conference, DaWaK 2013, Prague, Czech Republic, August 26-29, 2013, Proceedings. This book constitutes the refereed proceedings of the 15th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2013 held in Prague, Czech Republic, in August 2013. The 24 revised full papers and 8 short papers presented were carefully...
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Springer, 2014. — 506 p. 16th International Conference, DaWaK 2014, Munich, Germany, September 2-4, 2014. Proceedings. This book constitutes the refereed proceedings of the 16th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2014 held in Munich, Germany, September 2014, in conjunction with DEXA 2014. The 34 revised full papers and 8 short papers...
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Издательство Morgan & Claypool, 2007, -112 pp. Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In information retrieval, LSA enables retrieval on the basis of conceptual content, instead of merely matching words between queries and documents. It operates...
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Springer, 2008. — 352 p. Since their very inception, both fuzzy and rough set theories have earned a sound, well-deserved reputation owing to their intrinsic capabilities to model uncertainty coming from the real world. The increasing amount of investigations on both subjects reported every year in the literature vouches for the dynamics of the area and its rapid advancements. In...
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Springer, 2019. — 370 p. — (Studies in Big Data). — ISBN 9783319776033, 9783319776040. Bembenik, R., Skonieczny, Ł., Protaziuk, G., Kryszkiewicz, M., Rybinski, H. (Eds.) The inspiration for this book came from the Industrial Session of the ISMIS 2017 Conference in Warsaw. It covers numerous applications of intelligent technologies in various branches of the industry. Intelligent...
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NY: InfoQ, 2016. — 43 p. Making best use of data is fast becoming a critical skillset, not only for professional data scientists but also for software developers in general, whether moving into that specialist field or simply wanting to have data science as one tool in the arsenal. As a developer, how can you start to get a handle on data, choose the best tools and libraries,...
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Springer, 2016. — 321 p. European Conference, ECML PKDD 2016, Riva del Garda, Italy, September 19-23, 2016, Proceedings, Part III. The three volume set LNAI 9851, LNAI 9852, and LNAI 9853 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2016, held in Riva del Garda, Italy, in September 2016. The 123...
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Springer,2018. — 192 p. Philipp Bergmeir works on the development and enhancement of data mining and machine learning methods with the aim of analysing automatically huge amounts of load spectrum data that are recorded for large hybrid electric vehicle fleets. In particular, he presents new approaches for uncovering and describing stress and usage patterns that are related to...
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2nd ed. — Springer, 2016. — 347 p. — (Springer Texts in Statistics). — ISBN: 3319440470, 9783319440477 Offers accessible coverage on statistical learning procedures for practitioners Examines a wide array of real applications Presents intuitive explanations and visual representation of underlying statistical concepts About this Textbook This textbook considers statistical...
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Springer, 2008. — 369 p. — ISBN: 978-0-387-77500-5, e-ISBN: 978-0-387-77501-2. Statistical Learning from a Regression Perspective considers statistical learning applications when interest centers on the conditional distribution of the response variable, given a set of predictors, and when it is important to characterize how the predictors are related to the response. As a...
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Information Today, 2015. — 380 p. "In this era of Big Data, social media, and floods of unreliable information, 'Googling it' is not enough. In the olden days before search engines, search experts like Robert Berkman used tools, techniques, and diverse information sources to perform deep and reliable research. Today, for those who want to go deeper, to find and validate reliable...
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Information Today, 2015. — 380 p. "In this era of Big Data, social media, and floods of unreliable information, 'Googling it' is not enough. In the olden days before search engines, search experts like Robert Berkman used tools, techniques, and diverse information sources to perform deep and reliable research. Today, for those who want to go deeper, to find and validate reliable...
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Springer, 2019. — 740 p. — ISBN 3030109240. The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535...
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Springer, 2019. — 706 p. — ISBN 3030109968. The three volume proceedings LNAI 11051 - 11053 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2018, held in Dublin, Ireland, in September 2018. The total of 131 regular papers presented in part I and part II was carefully reviewed and selected from 535...
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2nd Edition. — Academic Press, 2018. — 455 p. — ISBN 978-0-12-815609-4. This book, Second Edition updates and expands on the first edition, bringing a set of techniques and algorithms that are tailored to Big Data projects. The book stresses the point that most data analyses conducted on large, complex data sets can be achieved without the use of specialized suites of software...
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Elsevier, 2016. — 390 p. — ISBN: 0128037814, 9780128037812 Data Simplification: Taming Information With Open Source Tools addresses the simple fact that modern data is too big and complex to analyze in its native form. Data simplification is the process whereby large and complex data is rendered usable. Complex data must be simplified before it can be analyzed, but the process...
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Packt Publishing, 2018. — 272 p. — ISBN 1788837991. Dive deeper into neural networks and get your models trained, optimized with this quick reference guide. Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It...
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Packt Publishing, 2018. — 272 p. — ISBN 1788837991. Dive deeper into neural networks and get your models trained, optimized with this quick reference guide. Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It...
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Packt Publishing, 2018. — 272 p. — ISBN 1788837991. Dive deeper into neural networks and get your models trained, optimized with this quick reference guide. Deep learning has become an essential necessity to enter the world of artificial intelligence. With this book deep learning techniques will become more accessible, practical, and relevant to practicing data scientists. It...
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Wiley Publishing, Inc. , 2004. - 670 p. The book is still divided into three parts. The first part talks about the business context of data mining, starting with a chapter that introduces data mining and explains what it is used for and why. The second chapter introduces the virtuous cycle of data mining — the ongoing process by which data mining is used to turn data into...
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John Wiley & Sons, Inc., 2000. — 480 р. — ISBN 0471331236. The first chapter, Data Mining in Context, supplies a bit of historical background for the current explosion in both data and data mining and examines the current data mining environment from three viewpoints-business, technical, and societal. The second chapter, Why Master the Art? , addresses the need for companies that...
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Society for Industrial and Applied Mathematics, 2001, -200 pp. As digital libraries and the World Wide Web (WWW) continue to grow exponentially, the ability to find useful information will greatly depend on the associated underlying framework of the indexing infrastructure or search engine. The push to get information on-line must be mediated by the design of automated...
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World Scientific, 2006. — 237 p. The continual explosion of information technology and the need for better data collection and management methods has made data mining an even more relevant topic of study. Books on data mining tend to be either broad and introductory or focus on some very specific technical aspect of the field. This book is a series of seventeen edited...
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Springer, 2015. — 280 p. First International Conference, SCDS 2015, Putrajaya, Malaysia, September 2-3, 2015, Proceedings. This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2015, held in Putrajaya, Malaysia, in September 2015. The 25 revised full papers presented were carefully reviewed and selected from 69...
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Springer, 2016. — 323 p. Second International Conference, SCDS 2016, Kuala Lumpur, Malaysia, September 21-22, 2016, Proceedings. This book constitutes the refereed proceedings of the International Conference on Soft Computing in Data Science, SCDS 2016, held in Putrajaya, Malaysia, in September 2016. The 27 revised full papers presented were carefully reviewed and selected from 66...
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2nd revised and extended Edition. — Springer, 2007. — 515 p. ISBN: 3540430601, 978-3540430605. This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of...
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Springer, 2010. — 394 p. — (Texts in Computer Science). — ISBN 978-1-84882-259-7. The main motivation to write this book came from all our problems to fin suitable material for a textbook that would really help us to teach the practical aspects of data analysis together with the needed theoretical underpinnings. Many books out there tackle either one or the other of these aspects...
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N.-Y.: Wiley, 2012. — 411 p. — ISBN: 978-0-470-66556-5. A state of the art volume on statistical causality. Causality: Statistical Perspectives and Applications presents a wide-ranging collection of seminal contributions by renowned experts in the field, providing a thorough treatment of all aspects of statistical causality. It covers the various formalisms in current use,...
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Издательство CRC Press, December 20, 2013, © 2014. — 378 p. — e-ISBN: 978-1-4398-8033-3. Probability as an Alternative to Boolean Logic While logic is the mathematical foundation of rational reasoning and the fundamental principle of computing, it is restricted to problems where information is both complete and certain. However, many real-world problems, from financial...
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O'Reilly, 2016. — 78 p. Heading into 2016, the world of machine intelligence has been bustling with seemingly back-to-back developments. Google released its machine learning library, TensorFlow, to the public. Shortly thereafter, Microsoft followed suit with CNTK, its deep learning framework. Silicon Valley luminaries recently pledged up to one billion dollars towards the...
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IGI Global, 2014. - 405p. - ISBN: 978-1466660861 Particularly in the fields of software engineering, virtual reality, and computer science, data mining techniques play a critical role in the success of a variety of projects and endeavors. Understanding the available tools and emerging trends in this field is an important consideration for any organization. Data Mining and Analysis...
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CRC Press, 2018. — 393 p. — ISBN 978-1-4987-6935-8. Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers...
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Wiley, 2017. — 446 p. — ISBN 10 1119242924, 13 978-1119242925. A synergy of techniques on hybrid intelligence for real-life image analysis Hybrid Intelligence for Image Analysis and Understanding brings together research on the latest results and progress in the development of hybrid intelligent techniques for faithful image analysis and understanding. As such, the focus is on the...
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New York: Amazon Digital Services LLC , 2018. — 311 p. Up until recent years, large technology companies were the main driving force behind the big data revolution. However, other industries are slowly waking up to the opportunities that big data has to offer, as well as to the threat that these technology giants with their intuitive and pleasing goods and services and the depth...
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New York: Amazon Digital Services LLC , 2018. — 311 p. Up until recent years, large technology companies were the main driving force behind the big data revolution. However, other industries are slowly waking up to the opportunities that big data has to offer, as well as to the threat that these technology giants with their intuitive and pleasing goods and services and the depth...
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ISTE Ltd and John Wiley&Sons, Inc., 2011. — 288 p. — ISBN: 184821233X Graph partitioning is a theoretical subject with applications in many areas, principally: numerical analysis, programs mapping onto parallel architectures, image segmentation, VLSI design. During the last 40 years, the literature has strongly increased and big improvements have been made. This book brings...
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Springer, 2015. — 365 p. European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part III. The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in...
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This book contains simple examples to provide illustration. The data used in the examples contains information that is not based on any real companies or people. The author and publisher of this book have used their best efforts in preparing this book. The author and publisher make no warranty of any kind, expressed or implied, with regard to the documentation and examples...
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Mcgraw-Hill, 1996. – 238 p. – ISBN: 0070057796, 9780070057791 Is your organization storing huge quantities of data that could be useful-but you don't know where to start? Do you have information about customers, distributors, markets, and competitors that you are not using to full advantage? And are you personally more interested in strategic applications and general overviews...
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Nijgh-Wolters-Noordhoff Universitaire, 1973. — 122 p. This book contains a survey of a number of techniques of clustering analysis. The merits and demerits of the procedures described are also discussed so that the research worker can make an informed choice between them. These techniques have been published in a very great number of journals which are not all easily...
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Chichester: John Wiley & Sons Ltd., 2007. — 325 p. — ISBN: 0470090162, 9780470090169 With the advent of computers, very large datasets have become routine. Standard statistical methods don't have the power or flexibility to analyse these efficiently, and extract the required knowledge. An alternative approach is to summarize a large dataset in such a way that the resulting summary...
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Morgan Kaufmann, 2015. — 685 p. — ISBN: 9780124115194 A comprehensive guide to the art and science of analyzing software data, with best practices generated by leading data scientists, collected from their experience training software engineering students and practitioners on how to master data science.
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Springer, 2013. — 739 p. European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I. This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised...
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  • 12,36 МБ
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Springer, 2013. — 732 p. European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II. This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised...
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Springer, 2013. — 730 p. European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III. This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised...
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Springer, 2000. — 444. This book presents statistical methods for analyzing and visualizing complex, aggregated, relational and higher-level data. It extends classical methods of exploratory data analysis to the case of so-called 'symbolic variables' that may have values such as subsets of categories, intervals of the real line (e.g., minimum/ maximum daily sales), or...
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Palgrave Macmillan, 2014, 242 p. eBook ISBN: 978-1-137-40619-4 Hardcover ISBN: 978-1-137-40617-0 Softcover ISBN: 978-1-349-48786-8 This book will help marketing executives, brand managers and IT professional understand what BIG DATA means and how to capture it in a way that is useful for marketing It explains how the marketing function is undergoing fundamental changes Makes clear...
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N.-Y.: Springer, 2015. - 167p. This book offers a coherent and comprehensive approach to feature subset selection in the scope of classification problems, explaining the foundations, real application problems and the challenges of feature selection for high-dimensional data. The authors first focus on the analysis and synthesis of feature selection algorithms, presenting a...
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Издательство Springer, 2010, -233 pp. Genome classification, construction of phylogenetic trees, became today a major approach in studying evolutionary relatedness of various species in their vast diversity. Although the modern genome clustering delivers the trees which are very similar to those generated by classical means, and basic terminology is the same, the phenotypic...
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Packt Publishing, 2017. — 270 p. Your one-stop guide to becoming a Machine Learning expert. Most of us have heard about the term Machine Learning, but surprisingly the question frequently asked by developers across the globe is, “How do I get started in Machine Learning?”. One reason could be attributed to the vastness of the subject area because people often get overwhelmed by...
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Wiley, 2018. - 304p. - ISBN: 978-1119390305 Be prepared for the arrival of automated decision making Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the...
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Springer, 2010. — 639 p. — ISBN 978-3-642-14745-6. Over the last forty years there has been a growing interest to extend probability theory and statistics and to allow for more flexible modelling of imprecision, uncertainty, vagueness and ignorance. The fact that in many real-life situations data uncertainty is not only present in the form of randomness (stochastic uncertainty)...
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John Wiley & Sons, Ltd, 2009. — 393 р. — (Wiley Series in Computational Statistics). — ISBN 978-0-470-72210-7. Graphical models are of increasing importance in applied statistics, and in particular in data mining. Providing a self-contained introduction and overview to learning relational, probabilistic, and possibilistic networks from data, this second edition of Graphical Models...
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Second Edition. — John Wiley, 2009. — 397 p. — ISBN: 978-0-470-72210-7. Although the origins of graphical models can be traced back to the beginning of the 20th century, they have become truly popular only since the mid-eighties, when several researchers started to use Bayesian networks in expert systems. But as soon as this start was made, the interest in graphical models grew...
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The MIT Press, 2015. — 416 p. — ISBN 978–0-262–02856–1. "Big Data" is on the covers of Science, Nature, the Economist, and Wired magazines, on the front pages of the Wall Street Journal and the New York Times. But despite the media hyperbole, as Christine Borgman points out in this examination of data and scholarly research, having the right data is usually better than having more...
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The MIT Press, 2014. — 312 p. — ISBN 978-0262526197. In the age of Big Data, the tools of information visualization offer us a macroscope to help us make sense of the avalanche of data available on every subject. This book offers a gentle introduction to the design of insightful information visualizations. It is the only book on the subject that teaches nonprogrammers how to...
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SAGE Publications Ltd, 2018. — 662 p. — ASIN B01MZE96SV. 'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea...
  • №154
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SAGE Publications Ltd, 2018. — 662 p. — ASIN B01MZE96SV. 'This book fosters in-depth understanding of the logic underpinning the most common statistical tests within the behavioural sciences. By emphasising the shared ground between these tests, the author provides crucial scaffolding for students as they embark upon their research journey.' —Ruth Horry, Psychology, Swansea...
  • №155
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Издательство Artech House, 2007, -393 pp. In the heat of battle, a split second can be all the time a military commander has to give orders. Information fusion technology enables commanders to lead decisively and confidently during active conflict. Masses of live information are instantaneously integrated to create a coherent and precise picture of a rapidly evolving situation....
  • №156
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Massachusetts Institute of Technology, Neural Information Processing Series, 2007. — 408 p. ISBN: 0262026252, 978-0262026253. Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale...
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JAI Press – 2003, 488 pages ISBN: 0444513795 Intelligent systems are required to enhance the capacities being made available to us by the internet and other computer based technologies. The theory necessary to help providing solutions to difficult problems in the construction of intelligent systems are discussed. In particular, attention is paid to situations in which the...
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Chapman&Hall/CRC, 2004 — 595p. ISBN 1-58488-344-8 This book contains a collection of selected representative papers of the thematic areas covered during the International Conference on Statistical Data Mining and Knowledge Discovery took place during June 22-25, 2002, including some of the keynote lectures. It is with regret that Usama Fayyad and Naeem Hashmi could not make a...
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3rd ed. — Springer, 2016. — 530 p. — Undergraduate Topics in Computer Science — ISBN: 9781447173069, EISBN: 9781447173076 This book explains and explores the principal techniques of Data Mining, the automatic extraction of implicit and potentially useful information from data, which is increasingly used in commercial, scientific and other application areas. It focuses on...
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Springer, 2013. – 454 p. – 2nd ed. – ISBN: 1447148835, 9781447148838 Data Mining, the automatic extraction of implicit and potentially useful information from data, is increasingly used in commercial, scientific and other application areas. Principles of Data Mining explains and explores the principal techniques of Data Mining: for classification, association rule mining and...
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  • 3,25 МБ
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The Institution of Electrical Engineers, 1999. — 308 p. — ISBN 0-85296-767-5. Estimating concept difficulty with cross entropy Analysing outliers by searching for plausible hypotheses Attribute-value distribution as a technique for increasing the efficiency of data mining Using background knowledge with attribute-oriented data mining A development framework for temporal data...
  • №162
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Springer, 2014. — 523 p. — 4th ed. — ISBN: 3319037617 The fourth edition of this successful textbook presents a comprehensive introduction to statistical and numerical methods for the evaluation of empirical and experimental data. Equal weight is given to statistical theory and practical problems. The concise mathematical treatment of the subject matter is illustrated by many...
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Springer, 2011, Softcover reprint of the original 1st ed. 1990 edition. — 237 p. — ISBN: 146127981X. This monograph is concerned with overdetermined systems, inconsistent systems with more equations than unknowns, in scientific data reduction. It is not a text on statistics, numerical methods, or matrix computations, although elements of all three, especially the latter, enter...
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Springer, 2009. — 182 p. Metalearning is the study of principled methods that exploit metaknowledge to obtain efficient models and solutions by adapting machine learning and data mining processes. While the variety of machine learning and data mining techniques now available can, in principle, provide good model solutions, a methodology is still needed to guide the search for the...
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Springer, 2014. — 279 p. — (Mathematics and Visualization). — ISBN: 9783319040981, 9783319040998 This collection of peer-reviewed conference papers provides comprehensive coverage of cutting-edge research in topological approaches to data analysis and visualization. It encompasses the full range of new algorithms and insights, including fast homology computation, comparative...
  • №166
  • 7,43 МБ
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Technical Report, Cambridge University, 2010. — 180 p. Computer programs to find formal proofs of theorems have a history going back nearly half a century. Originally designed as tools for mathematicians, modern applications of automated theorem provers and proof assistants are much more diverse. In particular they are used in formal methods to verify software and hardware...
  • №167
  • 1,97 МБ
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N.-Y.: Wiley Publishing Inc., 2014. — 408 p. — ISBN: 978-1118893173. Delve into your data for the key to success. Data mining is quickly becoming integral to creating value and business momentum. The ability to detect unseen patterns hidden in the numbers exhaustively generated by day-to-day operations allows savvy decision-makers to exploit every tool at their disposal in the...
  • №168
  • 9,80 МБ
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O'Reilly Media, 2017. — 292 p. — ISBN 978-1491952962. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and books teach basic...
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  • 4,88 МБ
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O'Reilly Media, 2017. — 292 p. — ISBN 978-1491952962. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and books teach basic...
  • №170
  • 5,13 МБ
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O'Reilly Media, 2017. — 292 p. — ISBN 978-1491952962. A key component of data science is statistics and machine learning, but only a small proportion of data scientists are actually trained as statisticians. This concise guide illustrates how to apply statistical concepts essential to data science, with advice on how to avoid their misuse. Many courses and books teach basic...
  • №171
  • 14,42 МБ
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Berlin: Springer, 2004. - 225p. Objective of the Study Vector autoregressive (VAR) models have become one of the dominant research tools in the analysis of macroeconomic time series during the last two decades. The great success of this modeling class started with Sims' (1980) critique of the traditional simultaneous equation models (SEM). Sims criticized the use of 'too many...
  • №172
  • 10,30 МБ
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Cambridge University Press, 2019. — 496 p. — ISBN 978-1-108-42209-3. Data-driven discovery is revolutionizing the modeling, prediction, and control of complex systems. This textbook brings together machine learning, engineering mathematics, and mathematical physics to integrate modeling and control of dynamical systems with modern methods in data science. It highlights many of the...
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The MIT Press, 632 pages, 2010. This text offers an introduction to the core topics underlying modern search technologies, including algorithms, data structures, indexing, retrieval, and evaluation. The emphasis is on implementation and experimentation; each chapter includes exercises and suggestions for student projects.
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Springer, 2011. – 575 p. – ISBN: 3642201911, 9783642201929 Modern statistics deals with large and complex data sets, and consequently with models containing a large number of parameters. This book presents a detailed account of recently developed approaches, including the Lasso and versions of it for various models, boosting methods, undirected graphical modeling, and...
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Springer, 2004. — 309 p. The field called Learning Classifier Systems is populated with romantics. Why shouldn't it be possible for computer programs to adapt, learn, and develop while interacting with their environments? In particular, why not systems that, like organic populations, contain competing, perhaps cooperating, entities evolving together? John Holland was one of the...
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Springer, 2005. — 336 p. This volume brings together recent theoretical work in Learning Classifier Systems (LCS), which is a Machine Learning technique combining Genetic Algorithms and Reinforcement Learning. It includes self-contained background chapters on related fields (reinforcement learning and evolutionary computation) tailored for a classifier systems audience and...
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New York: Springer, 2018. — 181 p. This book offers an introduction to artificial adaptive systems and a general model of the relationships between the data and algorithms used to analyze them. It subsequently describes artificial neural networks as a subclass of artificial adaptive systems, and reports on the backpropagation algorithm, while also identifying an important...
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Springer, 2002. — 197 p. Anticipatory Learning Classifier Systems describes the state of the art of anticipatory learning classifier systems-adaptive rule learning systems that autonomously build anticipatory environmental models. An anticipatory model specifies all possible action-effects in an environment with respect to given situations. It can be used to simulate anticipatory...
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Издательство Springer, 2006, -279 pp. Rule-based evolutionary online learning systems, often referred to as Michiganstyle learning classifier systems (LCSs), were proposed nearly thirty years ago (Holland, 1976; Holland, 1977) originally calling them cognitive systems. LCSs combine the strength of reinforcement learning with the generalization capabilities of genetic algorithms...
  • №180
  • 3,01 МБ
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John Wiley & Sons, Inc., 2017. — 416 p. — ISBN 978-1119092940. A comprehensive overview of data science covering the analytics, programming, and business skills necessary to master the discipline. Finding a good data scientist has been likened to hunting for a unicorn: the required combination of technical skills is simply very hard to find in one person. In addition, good data...
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Springer, 2014. — 749 p. European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I. This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers...
  • №182
  • 18,52 МБ
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Springer, 2014. — 746 p. European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part II. This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers...
  • №183
  • 18,14 МБ
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Springer, 2014. — 565 p. European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part III. This three-volume set LNAI 8724, 8725 and 8726 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2014, held in Nancy, France, in September 2014. The 115 revised research papers...
  • №184
  • 19,44 МБ
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2nd Edition. — Springer, 2015. — 561 p. — ISBN 9781447168409. A set of appendices provides the reader with self-contained introductions to the mathematical background necessary to read the book. Divided into three main parts, From Perception to Computation introduces methodologies aimed at representing the data in forms suitable for computer processing, especially when it comes to...
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Издательство Springer, 2008, -483 pp. One of the most interesting technological phenomena in recent years is the diffusion of consumer electronic products with constantly increasing acquisition, storage and processing power. As an example, consider the evolution of digital cameras: the first models available in the market in the early nineties produced images composed of 1.6...
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Springer, 2008. — 308 p. — ISBN: 0387794190, 9780387794204 Data Mining for Business Applications presents state-of-the-art data mining research and development related to methodologies, techniques, approaches and successful applications. The contributions of this book mark a paradigm shift from "data-centered pattern mining" to "domain-driven actionable knowledge discovery (AKD)"...
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  • 10,62 МБ
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Springer, 2010. — 265 p. — ISBN 978-1-4419-5736-8. In the present thriving global economy a need has evolved for complex data analysis to enhance an organization’s production systems, decision-making tactics, and performance. In turn, data mining has emerged as one of the most active areas in information technologies. Domain Driven Data Mining offers state-of the-art research and...
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  • 3,51 МБ
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Springer, 2018. — 404 p. — ISBN 978-3-319-95092-1. This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the...
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  • 7,84 МБ
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Springer, 2018. — 404 p. — ISBN 978-3-319-95092-1. This book explores answers to the fundamental questions driving the research, innovation and practices of the latest revolution in scientific, technological and economic development: how does data science transform existing science, technology, industry, economy, profession and education? How does one remain competitive in the...
  • №190
  • 37,84 МБ
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Издательство Morgan & Claypool, 2010, -90 pp. Many information retrieval (IR) systems suffer from a radical variance in performance when responding to users’ queries. Even for systems that succeed very well on average, the quality of results returned for some of the queries is poor. Thus, it is desirable that IR systems will be able to identify "difficult" queries so they can...
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  • 576,93 КБ
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Wiley, 2004. — 220 p. — ISBN: 0470850558, 978-0470850558. With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information. Concept Data...
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Wiley, 2004. — 220 p. — ISBN: 0470850558, 9780470850558, 9780470011287 +OCR With the advent of the Web along with the unprecedented amount of information available in electronic format, conceptual data analysis is more useful and practical than ever, because this technology addresses important limitations of the systems that currently support users in their quest for information....
  • №193
  • 2,36 МБ
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CRC Press, 2010. – 182 p. – ISBN: 142007573X, 9781420075731 After more than 15 years of development drawing on research in cognitive psychology, statistical graphics, computer science, and cartography, micromap designs are becoming part of mainstream statistical visualizations. Bringing together the research of two leaders in this field, Visualizing Data Patterns with Micromaps...
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  • 11,01 МБ
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Springer International Publishing AG, 2017. — 355 p. — (Mathematics and Visualization). — ISBN 978-3-319-44682-0. This book presents contributions on topics ranging from novel applications of topological analysis for particular problems, through studies of the effectiveness of modern topological methods, algorithmic improvements on existing methods, and parallel computation of...
  • №195
  • 13,62 МБ
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Oxford: Oxford University Press, 2000. — 217 p. This book introduces the growing range of computational methods which arise from research into Artificial Intelligence (AI), and which are coming to be recognised as tools of great potential in modern scientific analysis. These methods offer tremendous potential in the analysis of scientific data: papers reporting the application of...
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  • 9,70 МБ
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Springer, 2010. — 490 p. The success of companies is partly dependent on the generation of suitable knowledge upon which to base decision-making, and due to the centrality of the marketing function in organizations, marketing-related knowledge is of strategic relevance. In this connection, it is unlikely to reach a full understanding of any set of systems supporting marketing...
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Springer, 2016. — 312 p. In this book readers will find technological discussions on the existing and emerging technologies across the different stages of the big data value chain. They will learn about legal aspects of big data, the social impact, and about education needs and requirements. And they will discover the business perspective and how big data technology can be...
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  • 5,26 МБ
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Springer, 2017. — 898 p. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part I. The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular...
  • №199
  • 64,07 МБ
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Springer, 2017. — 881 p. European Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part II. The three volume proceedings LNAI 10534 – 10536 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2017, held in Skopje, Macedonia, in September 2017. The total of 101 regular...
  • №200
  • 61,76 МБ
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Springer, 2015. — 420 p. — ISBN-10: 3319092588, ISBN-13: 978-3-319-09258-4. На англ. языке. Clustering, the unsupervised classification of patterns into groups, is one of the most important tasks in exploratory data analysis. Primary goals of clustering include gaining insight into, classifying, and compressing data. Clustering has a long and rich history that spans a variety...
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Издательство Springer, 2010, -315 pp. Who are the strongest European competitors on software ideas? Who is the best doctor to cure insomnia in a nearby hospital? Where can I attend an interesting conference in my field close to a sunny beach? This information is available on the Web, but no software system can accept such queries nor compute the answer. At most, users can...
  • №202
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Издательство Springer, 2011, -263 pp. Searching for information is perhaps the most important application of today’s computing systems. In the new century, all the World’s citizens have become accustomed to thinking of the Web as the source for answering their information needs, and search engines as their Web interface. Websites reporting a movie’s plot, tomorrow’s weather in...
  • №203
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Springer, 2012. — 264 p. Search computing, which has evolved from service computing, focuses on building the answers to complex search queries by interacting with a constellation of cooperating search services, using the ranking and joining of results as the dominant factors for service composition. The field is multi-disciplinary in nature and takes advantage of contributions...
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Springer, 2013. While information retrieval was developed within the librarians’ community well before the use of computers, its importance boosted at the turn of the century, with the diffusion of the World Wide Web. Big players in the computer industry, such as Google and Yahoo!, were the primary contributors of a technology for fast access to Web information. Searching...
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  • 7,44 МБ
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Springer, 2015. — 215 p. — ISBN 978-3319540238. This book focuses on new and emerging data mining solutions that offer a greater level of transparency than existing solutions. Transparent data mining solutions with desirable properties (e.g. effective, fully automatic, scalable) are covered in the book. Experimental findings of transparent solutions are tailored to different...
  • №206
  • 1,82 МБ
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Morgan Kaufmann Publishers, 2009. — 460 p. — ISBN: 978-0123746290. All of the elements about data mining are here together in a single resource written by the best and brightest experts in the field! This book consolidates both introductory and advanced topics, thereby covering the gamut of data mining and machine learning tactics—from data integration and preprocessing to...
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  • 6,55 МБ
  • дата добавления неизвестна
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San Francisco: Morgan Kaufmann Publishers, 2003. — 364 p. — ISBN: 1-55860-754-4. This book is about finding significant statistical patterns relating hypertext documents, topics, hyperlinks, and queries and using these patterns to connect users to information they seek. TheWeb has become a vast storehouse of knowledge, built in a decentralized yet collaborative manner. It is a...
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  • 2,98 МБ
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CRC Press, 2017. — 410 p. — ISBN 0-412-05271-7. This book present graphical methods for analysing data. Some methods are new and some are old, some require a computer and others only paper and pencil; but they are all powerful data analysis tools. In many situations, a set of data even a large set- can be adequately analysed through graphical methods alone. In most other...
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Springer – 2010, 452 pages ISBN 1441901752 First volume to organize data mining, management, and warehousing into the systematic structure of Data Engineering Focuses on recent applied research results applicable to a broad industry-research-academic market End-of-chapter exercises for classroom use Data Engineering: Mining, Information, and Intelligence describes...
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  • 11,57 МБ
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World Scientific Publishing, 2001. — 925 p. — ISBN 9789810249731. This is the first handbook to cover comprehensively both software engineering and knowledge engineering - two important fields that have become interwoven in recent years. Over 60 international experts have contributed to the book. Each chapter has been written in such a way that a practitioner of software...
  • №211
  • 10,97 МБ
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World Scientific Publishing, 2002. — 808 p. — ISBN 9810249748. This handbook comprehensively covers both software engineering and knowledge engineering, and over 60 international experts have contributed to it. Each chapter explores one topic and can be read independently of other chapters, providing both a general survey of the topic and an in-depth exposition of the state of the...
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World Scientific Publishing, 2005. — 522 p. — ISBN 9812562737. The book covers the recent new advances in software engineering and knowledge engineering. It is intended as a supplement to the two-volume handbook of software engineering and knowledge engineering. The editor and authors are well-known international experts in their respective fields of expertise. Each chapter in the...
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MIT Press, 2006. — 501 p. — ISBN: 978-0-262-03358-9. During the last years, semi-supervised learning has emerged as an exciting new direction in machine learning reseach. It is closely related to profound issues of how to do inference from data, as witnessed by its overlap with transductive inference (the distinctions are yet to be made precise). At the same time, dealing with the...
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Springer, 2017. — 109 p. This book proposes complex hierarchical deep architectures (HDA) for predicting bankruptcy, a topical issue for business and corporate institutions that in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough tensor deep staking networks (FRTDSN) with structured,...
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Издательство Springer, 2007, -472 pp. The field of automatic document processing, more than a century old, is quite a mature one. It started with an attempt to automatically read printed text in the era well before the birth of digital computers and has been since continuing on various topics like document image enhancement, document structure and layout analysis, handwritten...
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  • 5,68 МБ
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McGraw-Hill Education, 2019. — 256 p. The indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce?the #1 customer relationship management (CRM) company in the world A tectonic shift in the practice of marketing is underway. Digital technology, social media, and e-commerce have radically changed the way consumers...
  • №217
  • 2,26 МБ
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McGraw-Hill Education, 2019. — 256 p. The indispensable guide to data-powered marketing from the team behind the data management platform that helps fuel Salesforce?the #1 customer relationship management (CRM) company in the world A tectonic shift in the practice of marketing is underway. Digital technology, social media, and e-commerce have radically changed the way consumers...
  • №218
  • 5,89 МБ
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Springer, 2008. — 936 p. — ISBN 978-3-540-33036-3. Complete overview of data visualization Comprehensive coverage of the field, both in theory and practice Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the...
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Springer, 2008. — 936 p. — ISBN: 3540330364 Complete overview of data visualization Comprehensive coverage of the field, both in theory and practice Visualizing the data is an essential part of any data analysis. Modern computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. This new volume in the...
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Springer, 2016. — 128 p. — ISBN: 9789811006319 This book offers an overview of traditional big visual data analysis approaches and provides state-of-the-art solutions for several scene comprehension problems, indoor/outdoor classification, outdoor scene classification, and outdoor scene layout estimation. It is illustrated with numerous natural and synthetic color images, and...
  • №221
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Springer, 2006. — 176 p. On September 11, 2001 the World became cognizant of the security challenges it faces on an international scale. With this awareness a commitment has come from the scientific, engineering, and health communities to help the world meet an array of security challenges. From these activities the science of "Intelligence and Security Informatics" is emerging,...
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Издательство Springer, 2013. — 207 pp. — ISBN: 978-1461456377, e-ISBN: 978-1461456384. Before Newton-Leibnitzs time, mathematics was basically discrete. Since then, continuous mathematics has dominated the literature. But discrete mathematics has found new life with the appearance and widespread use of the digital computer. However, we still prefer to use the thinking involved in...
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New York: Springer, 2016. - 213p. Explains the most current methods for solving cutting edge problems in data science and big data. Provides problem solving techniques and case studies. Covers a wide range of mathematical problems in data science in detail. Topics: Information Systems and Communication Service. Computer Communication Networks. Mathematics of Computing.
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Springer, 2016. — 219 p. — ISBN: 3319251252, 9783319251257 This book describes current problems in data science and Big Data. Key topics are data classification, Graph Cut, the Laplacian Matrix, Google Page Rank, efficient algorithms, hardness of problems, different types of big data, geometric data structures, topological data processing, and various learning methods. For...
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Издательство Kluwer, 2004, -201 pp. In the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World-Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a...
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CRC Press, 2002. — 228 p. Effective decision support systems (DSS) are quickly becoming key to businesses gaining a competitive advantage, and the effectiveness of these systems depends on the ability to construct, maintain, and extract information from data warehouses. While many still perceive data warehousing as a subdiscipline of management information systems (MIS), in fact...
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NYU Press, 2017. — 320 p. Algorithms are everywhere, organizing the near limitless data that exists in our world. Derived from our every search, like, click, and purchase, algorithms determine the news we get, the ads we see, the information accessible to us and even who our friends are. These complex configurations not only form knowledge and social relationships in the digital...
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IEEE Press/John Wiley, 2007. — 557 p. A learning method is an algorithm (usually implemented in software) that estimates an unknown mapping (dependency) between a system’s inputs and outputs from the available data, namely from known (input, output) samples. Once such a dependency has been accurately estimated, it can be used for prediction of future system outputs from the...
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Springer, 2019. - 400p. - ISBN: 9783319978840 This book constitutes the proceedings of the XVIII International Conference on Data Science and Intelligent Analysis of Information (ICDSIAI'2018), held in Kiev, Ukraine on June 4-7, 2018. The conference series, which dates back to 2001 when it was known as the Workshop on Intelligent Analysis of Information, was renamed in 2008 to...
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Springer, 2013. — 208 p. 23 illus. — ISBN: 9783642286674 Series: Intelligent Systems Reference Library, Vol. 41 These three approaches have much in common, but researchers active in one of these areas often have a limited knowledge about the results and methods developed in the other two. On the other hand, each of the approaches shows some originality and we believe that the...
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Morgan & Claypool Publ., USA, 2017. — 196 p. — (Synthesis Lectures on Computer Vision 11) — ISBN: 9781627052924. Outlier-contaminated data is a fact of life in computer vision. For computer vision applications to perform reliably and accurately in practical settings, the processing of the input data must be conducted in a robust manner. In this context, the maximum consensus...
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Butterworth-Heinemann, 2008. — 295 p. The authors present a practical and highly informative perspective on the elements that are crucial to the success of a marketing campaign. Unlike books that are either too theoretical to be of practical use to practitioners, or too soft to serve as solid and measurable implementation guidelines, this book focuses on the integration of...
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Издательство Springer, 2014, -157 pp. This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve it. This edition provides readers with the...
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Springer International Publishing AG, 2017. — 281 p. — (International Series in Operations Research & Management Science 252) — ISBN: 3319535161. This book focuses on optimal control and systems engineering in the big data era. It examines the scientific innovations in optimization, control and resilience management that can be applied to further success. In both business...
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N.-Y.: Wiley, 2015(!). - 792p. Data Mining Algorithms is a practical, technically-oriented guide to data mining algorithms that covers the most important algorithms for building classification, regression, and clustering models, as well as techniques used for attribute selection and transformation, model quality evaluation, and creating model ensembles. The author presents many...
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New York: Manning, 2016. - 322 p. Introducing Data Science teaches you how to accomplish the fundamental tasks that occupy data scientists. Using the Python language and common Python libraries, you'll experience firsthand the challenges of dealing with data at scale and gain a solid foundation in data science. Purchase of the print book includes a free eBook in PDF, Kindle,...
  • №237
  • 14,59 МБ
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Springer Science+Business Media, LLC, 2007. — 600 p. Data mining and knowledge discovery process . Introduction. What is data mining? How does data mining differ from other approaches? Summary and bibliographical notes. Exercises. The knowledge discovery process . Introduction. What is the knowledge discovery process? Knowledge discovery process models. Research issues. Summary...
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  • 11,58 МБ
  • дата добавления неизвестна
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Cambridge University Press, 2018. — 657 p. — (Cambridge Series in Statistical and Probabilistic Mathematics). — ISBN 978-1-107-02828-9. All scientific disciplines prize predictive success. Conventional statistical analyses, however, treat prediction as secondary, instead focusing on modeling and hence estimation, testing, and detailed physical interpretation, tackling these tasks...
  • №239
  • 15,37 МБ
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Springer Science+Business Media, 2009. — 786 p. — ISBN: 978-0387981345, e-ISBN: 978-0387981352. This book is a thorough introduction to the most important topics in data mining and machine learning. It begins with a detailed review of classical function estimation and proceeds with chapters on nonlinear regression, classification, and ensemble methods. The final chapters focus...
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Wiley, 2019. — 386 p. — ISBN 978-1-119-48825-5. Standardizes the definition and framework of analytics ABOK stands for Analytics Body of Knowledge. Based on the authors’ definition of analytics—which is “a process by which a team of people helps an organization make better decisions (the objective) through the analysis of data (the activity)”— this book from Institute for...
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Издательство Springer, 2002, -118 pp. This volume is based on a workshop held on September 13, 2001 in New Orleans, LA, USA as part of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval. The title of the workshop was: Information Retrieval Techniques for Speech Applications. Interest in speech applications dates back a...
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  • 1,05 МБ
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Isaac D. Cody, 2016. — 262 p. — ISBN 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data...
  • №243
  • 1,43 МБ
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Isaac D. Cody, 2016. — 262 p. — ISBN 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
  • №244
  • 1,04 МБ
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Isaac D. Cody, 2016. — 262 p. — ISBN 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
  • №245
  • 1,03 МБ
  • добавлен
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Isaac D. Cody, 2016. — 262 p. — ISBN 1541333306. This is a 3 book bundle related to data analytics and hacking computers and hacking mobile devices, apps, and game consoles! What's included in this 3 book bundle manuscript: Data Analytics: Practical Data Analysis and Statistical Guide to Transform and Evolve Any Business, Leveraging the power of Data Analytics, Data Science,...
  • №246
  • 1,05 МБ
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CreateSpace Independent Publishing, 2016. — 200 p. Data Analytics and Linux Operating System. Beginners Guide to Learn Data Analytics, Predictive Analytics and Data Science with Linux Operating System (Hacking Freedom Data Driven) This is a 2 book bundle related to Data Analytics and beginning your quest to understand the Linux Command Line Operating System Two...
  • №247
  • 10,64 МБ
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Springer, 2009. — 295 p. The purpose of this book is to collect contributions that are at the intersection of multi-objective optimization, swarm intelligence (specifically, particle swarm optimization and ant colony optimization) and data mining. Such a collection intends to illustrate the potential of multi-objective swarm intelligence techniques in data mining, with the aim of...
  • №248
  • 8,09 МБ
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Packt Publishing, 2018. — 274 p. — ISBN 978-1788994941. Explore supervised and unsupervised learning techniques and add smart features to your applications Key Features Leverage machine learning techniques to build real-world applications Use the Accord.NET machine learning framework for reinforcement learning Implement machine learning techniques using Accord, nuML, and Encog...
  • №249
  • 26,36 МБ
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Packt Publishing, 2018. — 274 p. — ISBN 978-1788994941. Explore supervised and unsupervised learning techniques and add smart features to your applications Key Features Leverage machine learning techniques to build real-world applications Use the Accord.NET machine learning framework for reinforcement learning Implement machine learning techniques using Accord, nuML, and Encog...
  • №250
  • 16,86 МБ
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New York: Springer, 2017. — 491 p. This book offers a concise introduction and comprehensive overview of the state of the art in the field of decision-making and consensus modeling, with a special emphasis on fuzzy methods. It consists of a collection of authoritative contributions reporting on the decision-making process from different perspectives: from psychology to social and...
  • №251
  • 13,03 МБ
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Addison-Wesley Professional, 2012. — 360 p. — ISBN: 032150481X, 9780321504814 Using Agile methods, you can bring far greater innovation, value, and quality to any data warehousing (DW), business intelligence (BI), or analytics project. However, conventional Agile methods must be carefully adapted to address the unique characteristics of DW/BI projects. In Agile Analytics, Agile...
  • №252
  • 4,36 МБ
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Springer, 2017. — 879 p. — (Lecture Notes in Computer Science). — ISBN 10 3319691783, 13 978-3319691787. This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118...
  • №253
  • 55,71 МБ
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Springer, 2017. — 1463 p. — (Lecture Notes in Computer Science). — ISBN 10 3319691783, 13 978-3319691787. This book constitutes the refereed proceedings of the 13th International Conference on Advanced Data Mining and Applications, ADMA 2017, held in Singapore in November 2017. The 20 full and 38 short papers presented in this volume were carefully reviewed and selected from 118...
  • №254
  • 9,59 МБ
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Wiley, 2015. — 288 p. — ISBN: 9781118893760 The goal of this book is to define the notion of an activity model learned from sensor data and to present the key algorithms that form the core of the field. While many current efforts have contributed to the ability to automatically recognize known activities, there are other aspects of activity learning that we want to include in...
  • №255
  • 3,59 МБ
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Wiley, 2006. — 500 p. — ISBN: 0471731900, 9780471731900 This text takes a focused and comprehensive look at mining data represented as a graph, with the latest findings and applications in both theory and practice provided. Even if you have minimal background in analyzing graph data, with this book you’ll be able to represent data as graphs, extract patterns and concepts from...
  • №256
  • 3,67 МБ
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Springer, 2013. — 116 p. The amount and the complexity of the data gathered by current enterprises are increasing at an exponential rate. Consequently, the analysis of Big Data is nowadays a central challenge in Computer Science, especially for complex data. For example, given a satellite image database containing tens of Terabytes, how can we find regions aiming at identifying...
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  • 3,40 МБ
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Springer, 2019. — 131 р. This book reflects the author’s years of hands-on experience as an academic and practitioner. It is primarily intended for executives, managers and practitioners who want to redefine the way they think about artificial intelligence (AI) and other exponential technologies. Accordingly the book, which is structured as a collection of largely self-contained...
  • №258
  • 2,62 МБ
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Springer, 2018. — 200 p. — (Studies in Computational Intelligence). — ISBN 10 3030004848, 13 978-3030004842. This book presents appealing contributions on computational intelligence and mathematics, connecting both areas and offering solutions to a number of interesting, real-world problems. Such problems often require novel solutions, as complexity exceeds the tractable size. At...
  • №259
  • 4,58 МБ
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Springer, 2018. — 364 p. — (Studies in Computational Intelligence). — ISBN 10 3030004848, 13 978-3030004842. This book presents appealing contributions on computational intelligence and mathematics, connecting both areas and offering solutions to a number of interesting, real-world problems. Such problems often require novel solutions, as complexity exceeds the tractable size. At...
  • №260
  • 5,93 МБ
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London, UK: CPI Group (UK) Ltd., 2018. — 209 p. — ISBN 178330278X. Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader...
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  • 1,66 МБ
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Springer, 1998. — 332 p. In recent years, there have been several attempts to define a logic for information retrieval (IR). The aim was to provide a rich and uniform representation of information and its semantics with the goal of improving retrieval effectiveness. The basis of a logical model for IR is the assumption that queries and documents can be represented effectively by...
  • №262
  • 8,97 МБ
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Boca Raton: CRC Press, 2013. — 433 p. Data-intensive science has the potential to transform scientific research and quickly translate scientific progress into complete solutions, policies, and economic success. But this collaborative science is still lacking the effective access and exchange of knowledge among scientists, researchers, and policy makers across a range of...
  • №263
  • 39,02 МБ
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Packt Publishing, 2013. — 339 p. — ISBN: 978-1-78328-099-5. Transform, model, and visualize your data through hands-on projects, developed in open source tools. Overview 1) Explore how to analyze your data in various innovative ways and turn them into insight. 2) Learn to use the D3js visualization tool for exploratory data analysis. 3) Understand how to work with graphs and...
  • №264
  • 9,75 МБ
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2nd ed. — Packt Publishing, 2016. — 338 p. — ISBN: 1785289713, 9781785289712 Key FeaturesLearn to use various data analysis tools and algorithms to classify, cluster, visualize, simulate, and forecast your dataApply Machine Learning algorithms to different kinds of data such as social networks, time series, and imagesA hands-on guide to understanding the nature of data and how to...
  • №265
  • 27,51 МБ
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2nd ed. — Packt Publishing, 2016. — 330 p. — ISBN: 9781785289712 Beyond buzzwords like Big Data or Data Science, there are a great opportunities to innovate in many businesses using data analysis to get data-driven products. Data analysis involves asking many questions about data in order to discover insights and generate value for a product or a service. This book explains the...
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  • 24,74 МБ
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Springer, 2011. — 510 p. 13th International Conference, DaWaK 2011, Toulouse, France, August 29- September 2, 2011, Proceedings. This book constitutes the refereed proceedings of the 13th International Conference on Data Warehousing and Knowledge Discovery, DaWak 2011 held in Toulouse, France in August/September 2011. The 37 revised full papers presented were carefully reviewed...
  • №267
  • 12,65 МБ
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Springer, 2012. — 471 p. 14th International Conference, DaWaK 2012, Vienna, Austria, September 3-6, 2012, Proceedings. This book constitutes the refereed proceedings of the 14th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2012 held in Vienna, Austria, in September 2012. The 36 revised full papers presented were carefully reviewed and selected from...
  • №268
  • 20,24 МБ
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Springer, 2014. — 94 p. Data mining has emerged as a new science—the exploration, algorithmically and systematically, of data in order to extract patterns that can be used as a means of supporting organizational decision making. Data mining has evolved from machine learning and pattern recognition theories and algorithms for modeling data and extracting patterns. The underlying...
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  • 1,79 МБ
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Technics Publications, 2017. — 644 p. — ISBN 978-1634622349. The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management. Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that value. As our ability and...
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  • 10,78 МБ
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Second Edition. — Technics Publications, 2017. — 644 p. — ISBN 978-1634622349. The Data Management Body of Knowledge (DAMA-DMBOK2) presents a comprehensive view of the challenges, complexities, and value of effective data management. Today's organizations recognize that managing data is central to their success. They recognize data has value and they want to leverage that value....
  • №271
  • 15,13 МБ
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Technics Publications, 2009. — 430 p. — ISBN 9781935504023. The first edition of the DAMA Guide to the Data Management Body of Knowledge (DAMA-DMBOK) remains an important reference for CDMP. It provides data management and IT professionals, executives, knowledge workers, educators, and researchers with a framework to manage their data and mature their information infrastructure....
  • №272
  • 4,91 МБ
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Packt Publishing, 2017. — 442 p. — ISBN 978-1-78829-575-8. Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on...
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  • 12,12 МБ
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Packt Publishing, 2017. — 450 p. — ISBN 978-1-78829-575-8. Complex statistics in Machine Learning worry a lot of developers. Knowing statistics helps you build strong Machine Learning models that are optimized for a given problem statement. This book will teach you all it takes to perform complex statistical computations required for Machine Learning. You will gain information on...
  • №274
  • 1,27 МБ
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Apress, 2017. — 289 p. — ISBN: 1484226135, 9781484226131 Automate the predictive analytics process using Oracle Data Miner and Oracle R Enterprise. This book talks about how both these technologies can provide a framework for in-database predictive analytics. You'll see a unified architecture and embedded workflow to automate various analytics steps such as data preprocessing,...
  • №275
  • 12,75 МБ
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Springer, 2018. — 89 p. — ISBN 978-9811081019. This book presents the proceedings of the Conference on Algorithms and Applications (ALAP 2018), which focuses on various areas of computing, like distributed systems and security, big data and analytics and very-large-scale integration (VLSI) design. The book provides solutions to a broad class of problems in diverse areas of...
  • №276
  • 3,26 МБ
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Springer, 2018. — 89 p. — ISBN 978-9811081019. This book presents the proceedings of the Conference on Algorithms and Applications (ALAP 2018), which focuses on various areas of computing, like distributed systems and security, big data and analytics and very-large-scale integration (VLSI) design. The book provides solutions to a broad class of problems in diverse areas of...
  • №277
  • 1,53 МБ
  • добавлен
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John Wiley & Sons, 2003. — 203 p. — (Wiley Series in Probability and Statistics). — ISBN 978-0-471-26851-2. Written for practitioners of data mining, data cleaning and database management. Presents a technical treatment of data quality including process, metrics, tools and algorithms. Focuses on developing an evolving modeling strategy through an iterative data exploration loop...
  • №278
  • 1,42 МБ
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CRC, 2016. — 184 p. — ISBN 978-1-4822-3832-7. Several statistical techniques are used for the design of materials through extraction of knowledge from existing data banks. These approaches are getting more attention with the application of computational intelligence techniques. This book illustrates the alternative but effective methods of designing materials, where models are...
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  • 15,14 МБ
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Boca Raton: CRC Press, 2014. — 300 p. — ISBN 978-1-4822-1587-8. This book presents a philosophical study of statistics via the concept of data approximation. Developed by the well-regarded author, this approach discusses how analysis must take into account that models are, at best, an approximation of real data. It is, therefore, closely related to robust statistics and...
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Chichester: Wiley, 2007. - 457p. A comprehensive, coherent, and in depth presentation of the state of the art in fuzzy clustering. Fuzzy clustering is now a mature and vibrant area of research with highly innovative advanced applications. Encapsulating this through presenting a careful selection of research contributions, this book addresses timely and relevant concepts and...
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Wiley, 2018. — 393 p. - ISBN: 1119482089 Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to...
  • №282
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Hoboken: Wiley, 2018. — 393 p. Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big...
  • №283
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N.-Y.: Wiley, 2014. — 289 p. — ISBN: 978-1118618042. With big data analytics comes big insights into profitability. Big data is big business. But having the data and the computational power to process it isn't nearly enough to produce meaningful results. Big Data, Data Mining, and Machine Learning: Value Creation for Business Leaders and Practitioners is a complete resource...
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Morgan & Claypool, 2013. — 191 p. Graphical models (e.g., Bayesian and constraint networks, influence diagrams, and Markov decision processes) have become a central paradigm for knowledge representation and reasoning in both artificial intelligence and computer science in general. These models are used to perform many reasoning tasks, such as scheduling, planning and learning,...
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BaseGroup Labs, 2010. – 8 с. (Автор не указан). Содержание: Актуальность задачи. Решение. Этапы работ. Подготовка данных. Прогнозирование. Планирование. Оптимизация и отчеты для руководства компании. Результат внедрения. Преимущества решения. Экономический эффект. Перспективы развития. Состав решения. Сроки внедрения.
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BaseGroup Labs, 2009. – 43 с. (Автор не указан). В руководстве описана аналитическая платформа Deductor 5.2: технические особенности платформы, установка, настройка и обслуживание системы, построенной на ее основе, разрешение проблем и ответы на основные вопросы, возникающие в ходе интеграции Deductor в информационную систему предприятия. Книга предназначена для...
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BaseGroup Labs, 2009. – 192 с. (Автор не указан). В руководстве описана аналитическая платформа Deductor 5.2: идеология анализа данных, реализованные механизмы, составные части и архитектура, демонстрируются типовые задачи анализа бизнес-данных и способы их решения при помощи Deductor Studio. Книга предназначена для аналитиков, руководителей подразделений и других...
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BaseGroup Labs, 2010. – 38 с. (Автор не указан). В руководстве описаны используемые в Deductor Studio алгоритмы интеллектуального анализа данных и визуализации полученных результатов. Книга предназначена для аналитиков, которых интересуют реализованные в узлах-обработчиках математические алгоритмы для проверки достоверности полученных результатов. Общеизвестные методы и...
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Cham: Springer International Publishing, 2019 - 242 p. - ISBN: 978-3-030-01872-6 This book highlights research in linking and mining data from across varied data sources. The authors focus on recent advances in this burgeoning field of multi-source data fusion, with an emphasis on exploratory and unsupervised data analysis, an area of increasing significance with the pace of...
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John Wiley & Sons, Wiley Series in Computational Statistics, 2012. — 344 p. ISBN: 0470195150, 978-0470195154. Explore the multidisciplinary nature of complex networks through machine learning techniques. Statistical and Machine Learning Approaches for Network Analysis provides an accessible framework for structurally analyzing graphs by bringing together known and novel...
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CRC Press, 2017. — 393 p. — ISBN 9781498799324. A broad definition of Data Science describes the process of analyzing data to transform data into insights. This also involves asking philosophical, legal and social questions in the context of data generation and analysis. In fact, Big Data also belongs to this universe as it comprises data gathering, data fusion and analysis when...
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Springer, 2009. — 121 p. This monograph is devoted to theoretical and experimental study of inhibitory decision and association rules. Inhibitory rules contain on the right-hand side a relation of the kind "attribut does not equal value". The use of inhibitory rules instead of deterministic (standard) ones allows us to describe more completely information encoded in decision or...
  • №293
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New York: Springer, 2000. — 169 p. — (CISM Courses and Lectures 408). — ISBN 978-3-211-83326-1. The book aims to merge Computational Intelligence with Data Mining, which are both hot topics of current research and industrial development, Computational Intelligence, incorporates techniques like data fusion, uncertain reasoning, heuristic search, learning, and soft computing. A....
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Springer, 2018. — 299 p. — (Annals of Information Systems 21). — ISBN 9783319580968, 9783319580975. Amit V. Deokar, Ashish Gupta, Lakshmi S. Iyer, Mary C. Jones (eds.) This book explores emerging research and pedagogy in analytics and data science that have become core to many businesses as they work to derive value from data. The chapters examine the role of analytics and data...
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Springer, 2016. — 308 p. — ISBN: 3662485362, 9783662485361 Presents up-to-date work on core theories and applications of spatial data mining, combining the principles of data mining and geospatial information science Proposes data fields, cloud model, and mining views methods, and presents empirical applications in the context of GIS and remote sensing This book is an...
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Paсkt, 2017. — 280 p. — ISBN 978-1786466228. True PDF Discover the definitive guide to crafting lightning-fast data processing for distributed systems with Apache Flink About This Book Build your expertize in processing real-time data with Apache Flink and its ecosystem Gain insights into the working of all components of Apache Flink such as FlinkML, Gelly, and Table API filled...
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Packt Publishing, 2017. — 318 p. — ISBN 978-1-78646-622-8 With the advent of massive computer systems, organizations in different domains generate large amounts of data at a realtime basis. The latest entrant to big data processing, Apache Flink, is designed to process continuous streams of data at a lightning fast pace.
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Springer, 2019. — 832 p. — ISBN 9783319975474. This book features 29 peer-reviewed papers presented at the 9th International Conference on Soft Methods in Probability and Statistics (SMPS 2018), which was held in conjunction with the 5th International Conference on Belief Functions (BELIEF 2018) in Compiègne, France on September 17–21, 2018. It includes foundational,...
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Springer – 2012, 464 pages ISBN: 3642210368 The theme of the meeting was Statistical Methods for the Analysis of Large Data-Sets. In recent years there has been increasing interest in this subject; in fact a huge quantity of information is often available but standard statistical techniques are usually not well suited to managing this kind of data. The conference serves as an...
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Wiley-Interscience – 2008, 476 pages ISBN: 0470018836, 9780470018835 Symbolic data analysis is a relatively new field that provides a range of methods for analyzing complex datasets. Standard statistical methods do not have the power or flexibility to make sense of very large datasets, and symbolic data analysis techniques have been developed in order to extract knowledge from...
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Springer, 2019. — 268 p. — ISBN 978-3-030-00733-1. This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their...
  • №302
  • 28,09 МБ
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Springer, 2019. — 268 p. — ISBN 978-3-030-00733-1. This book equips readers to handle complex multi-view data representation, centered around several major visual applications, sharing many tips and insights through a unified learning framework. This framework is able to model most existing multi-view learning and domain adaptation, enriching readers’ understanding from their...
  • №303
  • 7,89 МБ
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Apress, 2016. — 276 p. — ISBN: 1484213122, 9781484213124, 9781484213117 Management blamed many factors for the sluggish sales: long sales cycles, a sluggish economy, and unfavorable currency movement. But worldwide spending on business analytics increased during this period and some vendors reported double-digit revenue growth. Blaming Teradata’s struggles on poor leadership...
  • №304
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Packt Publishing, 2017. — 394 p. — ISBN 978-1786463494. True PDF Breathe life into your data by learning how to use D3.js V4 to visualize information About This Book Create complex visualizations powered by D3.js and open data. Provides an extensive set of visualizations that explore all the functionality provided by D3.js V4. Shows how to set up an easy-to-use environment to...
  • №305
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Packt Publishing, 2017. — 394 p. Breathe life into your data by learning how to use D3.js V4 to visualize information Do you want to make sense of your data? Do you want to create interactive charts, data trees, info-graphics, geospatial charts, and maps efficiently? This book is your ideal choice to master interactive data visualization with D3.js V4. The book includes a number...
  • №306
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Springer, 2009. — 412 p. Multimedia content analysis has progressed from low-level feature based algorithms to finding application in a variety of products and systems today. The practical applications have in turn thrown up new problems for further research in both algorithms and applications. This book therefore addresses a timely need by capturing the state of the art and...
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2nd Edition. — Chapman & Hall/CRC texts in statistical science series, 2002. — 221 pages. The original purpose ofthe book was to present a unified theoretical and conceptual framework for statistical modelling in a way that was accessible to undergraduate students and researchers in other fields. This new edition has been expanded to include nominal (or multinomial) and ordinal...
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CRC Press, 2013. — 428 p. — ISBN: 1439854327, 9781439854327 — eISBN: 9781439854334 A Fruitful Field for Researching Data Mining Methodology and for Solving Real-Life Problems Contrast Data Mining: Concepts, Algorithms, and Applications collects recent results from this specialized area of data mining that have previously been scattered in the literature, making them more...
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Springer, 2007. — 148 p. Understanding sequence data, and the ability to utilize this hidden knowledge, creates a significant impact on many aspects of our society. Examples of sequence data include DNA, protein, customer purchase history, web surfing history, and more. Sequence Data Mining provides balanced coverage of the existing results on sequence data mining, as well as...
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  • 2,23 МБ
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Springer International Publishing AG, 2017. — 109 p. — (SpringerBriefs in Complexity) — ISBN-10 3319538853. This brief presents readers with a summary of classic, modern, and state-of-the-art methods for discovering the roles of entities in networks (including social networks) that range from small to large-scale. It classifies methods by their mathematical underpinning, whether...
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Packt Publishing, 2017. — 336 p. Master different reinforcement learning techniques and their practical implementation using OpenAI Gym, Python and Java Reinforcement learning (RL) is becoming a popular tool for constructing autonomous systems that can improve themselves with experience. We will break the RL framework into its core building blocks, and provide you with details of...
  • №312
  • 198,65 КБ
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Packt Publishing, 2017. — 336 p. Master different reinforcement learning techniques and their practical implementation using OpenAI Gym, Python and Java Reinforcement learning (RL) is becoming a popular tool for constructing autonomous systems that can improve themselves with experience. We will break the RL framework into its core building blocks, and provide you with details of...
  • №313
  • 6,88 МБ
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Springer, 2018. — 193 p. For more than four decades the complexity of circuits and systems has grown according to Moore’s Law resulting in chips of several billion components. While already the synthesis on the different levels from the initial specification down to the layout is a challenging task, for all the individual steps the correctness has to be considered. In the past,...
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Springer, 2014. — 824 p. 166 illus., 68 illus. in color. — ISBN: 144715570X, 9781447155713 Providing a broad but in-depth introduction to neural network and machine learning in a statistical framework, this book provides a single, comprehensive resource for study and further research. All the major popular neural network models and statistical learning approaches are covered...
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Auerbach Publications, 2011. - 256 pages ISBN: 1439839425 With the rapid advancement of information discovery techniques, machine learning and data mining continue to play a significant role in cybersecurity. Although several conferences, workshops, and journals focus on the fragmented research topics in this area, there has been no single interdisciplinary resource on past and...
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Wiley, 2008. — 291 p. Based around eleven international real life case studies and including contributions from leading experts in the field this groundbreaking book explores the need for the grid-enabling of data mining applications and provides a comprehensive study of the technology, techniques and management skills necessary to create them. This book provides a simultaneous...
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CreateSpace Independent Publishing Platform, 2016. — 387 p. — ISBN: 1530655277, 9781530655274 If you have a question about Data Science this is the book with the answers. Data Science: Questions and Answers takes some of the best questions and answers asked on the datascience.stackexchange.com website. You can use this book to look up commonly asked questions, browse questions...
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New York: O'Reilly, 2014. — 66 p. Looking Toward the Future The Shape of Anomaly Detection Finding “Normal” If you enjoy math, read this description of a probabilistic model of “normal”… Human Insight Helps Finding Anomalies Once again, if you like math, this description of anomalies is for you… Take-Home Lesson: Key Steps in Anomaly Detection A Simple Approach: Threshold Models...
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New York: O'Reilly Media, 2014. — 81 p. Time series data is of growing importance, especially with the rapid expansion of the Internet of Things. This concise guide shows you effective ways to collect, persist, and access large-scale time series data for analysis. You’ll explore the theory behind time series databases and learn practical methods for implementing them. Authors...
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O'Reilly Media, 2014. — 56 p. — ISBN 9781491915387. Apache Mahout committers Ted Dunning and Ellen Friedman walk you through a design that relies on careful simplification. You’ll learn how to collect the right data, analyze it with an algorithm from the Mahout library, and then easily deploy the recommender using search technology, such as Apache Solr or Elasticsearch. Powerful...
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Springer, 2009. — 276 p. The book brings together aspects of statistics and machine learning to provide a comprehensive guide to evaluate, interpret and understand biometric data. This professional book naturally leads to topics including data mining and prediction, widely applied to other fields but not rigorously to biometrics. This volume places an emphasis on the various...
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Benjamin S. Duran Cluster Analysis — Lecture notes in economics and mathematical systems ; 100 : Econometrics // Berlin, Heidelberg, Springer, 1974. A tremendous amount of work has been done over the last thirty years in cluster analysis, with a significant amount occurring since 1960. A substantial portion of this work has appeared in many journals, including numerous applied...
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Springer, 1974. — 146 p. A tremendous amount of work has been done over the last thirty years in cluster analysis, with a significant amount occurring since 1960. A substantial portion of this work has appeared in many journals, including numerous applied journals, and a unified exposition is lacking. The purpose of this monograph is to supply such an exposition by presenting...
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  • 2,05 МБ
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Springer, 1986. — 321 p. — ISBN: 1461293715, 9781461293712, e-ISBN: 9781461249504. With 180 Graphical Representations. This book, therefore, attempts to give a sound overview of most of the wellknown and widely used methods of analyzing and portraying data graph ically. Throughout the book the emphasis is on exploratory techniques. Realizing the futility of presenting these...
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Springer, 2011. — 309 p. — ISBN 978-3-642-17718-7. Currently the methods of Soft Computing are successfully used for risk analysis in: budgeting, e-commerce development, portfolio selection, Black-Scholes option pricing models, corporate acquisition systems, evaluating investments in advanced manufacturing technology, interactive fuzzy interval reasoning for smart web shopping,...
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Springer, 2013. – 262 p. – ISBN: 144190235X, 9781441902351 The goal of this book is to present a variety of methods used in multidimensional data visualization. The emphasis is placed on new research results and trends in this field, including optimization, artificial neural networks, combinations of algorithms, parallel computing, different proximity measures, nonlinear...
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Springer, 2010. — 474 p. This book is about inductive databases and constraint-based data mining, emerging research topics lying at the intersection of data mining and database research. The aim of the book as to provide an overview of the state-of- the art in this novel and - citing research area. Of special interest are the recent methods for constraint-based mining of global...
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Издательство Springer, 1996, -220 pp. The concept of ridges has appeared numerous times in the image processing literature. Sometimes the term is used in an intuitive sense. Other times a concrete definition is provided. In almost all cases the concept is used for very specific applications. When analyzing images or data sets, it is very natural for a scientist to measure...
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Издательство Springer, 1996, -220 pp. The concept of ridges has appeared numerous times in the image processing literature. Sometimes the term is used in an intuitive sense. Other times a concrete definition is provided. In almost all cases the concept is used for very specific applications. When analyzing images or data sets, it is very natural for a scientist to measure...
  • №330
  • 1,95 МБ
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Morgan Kaufmann, 2011. - 712 pp., ISBN: 978-0-12-372512-7 Search has been vital to artificial intelligence from the very beginning as a core technique in problem solving. The authors present a thorough overview of heuristic search with a balance of discussion between theoretical analysis and efficient implementation and application to real-world problems. Current developments...
  • №331
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Springer, 2018. — 382 p. — ISBN 9811085684. The Volume of “Advances in Machine Learning and Data Science - Recent Achievements and Research Directives” constitutes the proceedings of First International Conference on Latest Advances in Machine Learning and Data Science (LAMDA 2017). The 37 regular papers presented in this volume were carefully reviewed and selected from 123...
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Springer, 2017. - 386p. - ISBN: 978-3319415727 This volume conveys some of the surprises, puzzles and success stories in high-dimensional and complex data analysis and related fields. Its peer-reviewed contributions showcase recent advances in variable selection, estimation and prediction strategies for a host of useful models, as well as essential new developments in the field....
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Wiley, 2016. — 314 p. — (Methods and Applications in Data Mining). — ISBN: 9781118998236 This book discusses the insights, challenges, issues, expectations, and practical implementation of data mining (DM) within educational mandates. Initial series of chapters offer a general overview of DM, Learning Analytics (LA), and data collection models in the context of educational...
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N.-Y.: Wiley, 2014. - 432p. Construct a robust end-to-end solution for analyzing and visualizing streaming data Real-time analytics is the hottest topic in data analytics today. In Real-Time Analytics: Techniques to Analyze and Visualize Streaming Data, expert Byron Ellis teaches data analysts technologies to build an effective real-time analytics platform. This platform can...
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Kogan Page, 2018. — 272 p. Data science is the most exciting skill you can master. Data has dramatically changed how our world works. From entertainment to politics, from technology to advertising and from science to the business world, data is integral and its only limit is our imagination. If you want to have a vibrant and valuable professional life, being skilled with data is...
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New York: Prentice Hall, 2016. — 235 p. — ISBN: 0134291077 , 9780134291079. Big Data Science Fundamentals offers a comprehensive, easy-to-understand, and up-to-date understanding of Big Data for all business professionals and technologists. Leading enterprise technology author Thomas Erl introduces key Big Data concepts, theory, terminology, technologies, key analysis/analytics...
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2nd Edition. — Springer International Publishing AG, 2017. — 365 p. — (Undergraduate Topics in Computer Science) — ISBN 978-3-319-58486-7. This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and...
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2nd Edition. — Springer, 2017. — 365 p. — ISBN 978-3-319-58486-7; ISBN 978-3-319-58487-4. This accessible and engaging textbook presents a concise introduction to the exciting field of artificial intelligence (AI). The broad-ranging discussion covers the key subdisciplines within the field, describing practical algorithms and concrete applications in the areas of agents, logic,...
  • №339
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Packt Publishing, 2018. — 218 p. — ISBN 1789136245. MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and administration. Build...
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Packt Publishing, 2018. — 218 p. — ISBN 1789136245. MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and administration. Build...
  • №341
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Packt Publishing, 2018. — 218 p. — ISBN 1789136245. !Code files only MicroStrategy is an enterprise business intelligence application. It turns data into reports for making and executing key organization decisions. This book shows you how to implement Business Intelligence (BI) with MicroStrategy. It takes you from set up and configuring MicroStrategy to security and...
  • №342
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Packt Publishing, 2017. — 348 p. — ISBN 1786467208. Key Features This highly practical guide shows you how to use the best of the big data technologies to solve your response-critical problems Learn the art of making cheap-yet-effective big data architecture without using complex Greek-letter architectures Use this easy-to-follow guide to build fast data processing systems...
  • №343
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5th edition. — New York: Pearson, 2013. — 543 p. — ISBN 978-0-273-76822-7. A pragmatic approach to statistics, data analysis and decision modeling. Statistics, Data Analysis & Decision Modeling focuses on the practical understanding of its topics, allowing readers to develop conceptual insight on fundamental techniques and theories. Evans’ dedication to present material in a...
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5th Edition. — John Wiley & Sons, 2011. — 360 p. — ISBN 978-0-470-74991-3. Cluster analysis comprises a range of methods for classifying multivariate data into subgroups. By organizing multivariate data into such subgroups, clustering can help reveal the characteristics of any structure or patterns present. These techniques have proven useful in a wide range of areas such as...
  • №345
  • 2,79 МБ
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Information Science Reference, 2009. — 344 p. As data mining is one of the most rapidly changing disciplines with new technologies and concepts continually under development, academicians, researchers, and professionals of the discipline need access to the most current information about the concepts, issues, trends, and technologies in this emerging field. The book serves as a...
  • №346
  • 66,60 МБ
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Manning Publications, 2019. — 400 р. — ISBN 978-1617292705. Online recommender systems help users find movies, jobs, restaurants—even romance! There’s an art in combining statistics, demographics, and query terms to achieve results that will delight them. Learn to build a recommender system the right way: it can make or break your application! Practical Recommender Systems...
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Kluwer, 1996. — 154 p. The problem on target is the searching of large multimedia databases by content. For example, 'given a collection of color images, find the ones that look like a sunset'. Research on a specific domain (eg., machine vision, voice processing, text, retrieval) typically focuses on feature extraction and similarity functions, with little regard to the...
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N.-Y.: Chapman and Hall/CRC, 2015. - 297p. Robust Methods for Data Reduction gives a non-technical overview of robust data reduction techniques, encouraging the use of these important and useful methods in practical applications. The main areas covered include principal components analysis, sparse principal component analysis, canonical correlation analysis, factor analysis,...
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Springer, 2015. — 384 p. — (Intelligent Systems Reference Library 73). — ISBN: 9783319106526, 9783319106533 This book is focused on the recent advances in computer vision methodologies and technical solutions using conventional and intelligent paradigms. The Contributions include: · Morphological Image Analysis for Computer Vision Applications. · Methods for Detecting of...
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IGI, 2008. — 394 p. — ISBN13 9781599045283; ISBN10 1599045281; EISBN13 9781599045306. The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution...
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Springer, 2003. — 495 p. Multimedia information technologies, which provide comprehensive and intuitive information for a broad range of applications, have strong impact on modem life, and have changed our way of learning and thinking. Over the past two decades, there has been an explosive growth in the use of digital multimedia (including audio, video, images and graphics)...
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Bentham Science Publishers, 2015. — 268 p. — ASIN: B00LUDABNM Introduction to Computer Data Representation introduces readers to the representation of data within computers. Starting from basic principles of number representation in computers, the book covers the representation of both integer and floating point numbers, and characters or text. It comprehensively explains the...
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New York: New York University Press, 2017. — 266 p. The consequences of big data and algorithm-driven policing and its impact on law enforcement In a high-tech command center in downtown Los Angeles, a digital map lights up with 911 calls, television monitors track breaking news stories, surveillance cameras sweep the streets, and rows of networked computers link analysts and...
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Издательство Springer, 2011, -325 pp. Automatic document processing plays a crucial role in the present society, due to the progressive spread of computer-readable documents in everyday life, from informal uses to more official exploitations. This holds not only for new documents, typically born digital, but also for legacy ones that undergo a digitization process in order to...
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Microsoft Press, 2015. — 592 p. — ISBN 978-0735698352. This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens...
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Microsoft Press, 2015. — 592 p. — ISBN 978-0735698352. This comprehensive and authoritative guide will teach you the DAX language for business intelligence, data modeling, and analytics. Leading Microsoft BI consultants Marco Russo and Alberto Ferrari help you master everything from table functions through advanced code and model optimization. You’ll learn exactly what happens...
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Packt Publishing, 2019. — 126 p. — ISBN 9781838551605. Use the serverless computing approach to save time and money Key Features Save your time by deploying deep learning models with ease using the AWS serverless infrastructure Get a solid grip on AWS services and use them with TensorFlow for efficient deep learning Includes tips, tricks and best practices on serverless deep...
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Packt Publishing, 2019. — 126 p. — ISBN 9781838551605. Use the serverless computing approach to save time and money Key Features Save your time by deploying deep learning models with ease using the AWS serverless infrastructure Get a solid grip on AWS services and use them with TensorFlow for efficient deep learning Includes tips, tricks and best practices on serverless deep...
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Springer, 2017. — 335 p. 24th International Symposium, SPIRE 2017, Palermo, Italy, September 26–29, 2017, Proceedings. This book constitutes the proceedings of the 24th International Symposium on String Processing and Information Retrieval, SPIRE 2017, held in Palermo, Italy, in September 2017. The 26 papers presented in this volume were carefully reviewed and selected from 71...
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Cambridge University Press. 2006. — 260 p. — ISBN: 0521618002 , 0521852811. Advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This 2006 book provides an overview of these...
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