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Анализ больших данных (Big Data)

Требуется помощь в преобразовании раздела Информатика и вычислительная техника

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Springer, 2015. — 239 p. This book is about elite types of thought processes and architectures for big data and modeling that can enable smart and real-time decisions. Today’s world is abundant with data and models; many new problems are formulated and solved everyday; many artificial-intelligence, mathematical, and statistical models exist, but there is a lack of scholarly work...
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Springer, 2015. — 288 p. — ISBN: 3319165976, 9783319165974, 9783319165981 The work presented in this book is a combination of theoretical advancements of big data analysis, cloud computing, and their potential applications in scientific computing. The theoretical advancements are supported with illustrative examples and its applications in handling real life problems. The...
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Springer, 2018. — 742 p. — (Advances in Intelligent Systems and Computing 654). — ISBN 9789811066191, 9789811066207. This volume comprises the select proceedings of the annual convention of the Computer Society of India. Divided into 10 topical volumes, the proceedings present papers on state-of-the-art research, surveys, and succinct reviews. The volumes cover diverse topics...
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Cham: Springer International Publishing, 2018. — 110 p. — ISBN 978-3-319-91851-8. The big data tsunami changes the perspective of industrial and academic research in how they address both foundational questions and practical applications. This calls for a paradigm shift in algorithms and the underlying mathematical techniques. There is a need to understand foundational strengths...
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Butterworth-Heinemann, 2015. — 316 p. — ISBN 978-0-12-801967-2. This text introduces state-of-the-art concepts and technologies surrounding big data, providing users with a strategic framework that can be used to combat terrorism and reduce crime.
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Packt Publishing, 2018. — 593 p. — ISBN 1788835824. A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book...
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Packt Publishing, 2018. — 593 p. — ISBN 1788835824. !Code files only A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured...
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Packt Publishing, 2018. — 593 p. — ISBN 1788835824. A comprehensive end-to-end guide that gives hands-on practice in big data and Artificial Intelligence Key Features Learn to build and run a big data application with sample code Explore examples to implement activities that a big data architect performs Use Machine Learning and AI for structured and unstructured data Book...
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Springer International Publishing AG, part of Springer Nature, 2018. — 219 p. — ISBN 978-3319764719. This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data,...
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Springer International Publishing AG, part of Springer Nature, 2018. — 219 p. — ISBN 978-3319764719. This timely text/reference reviews the state of the art of big data analytics, with a particular focus on practical applications. An authoritative selection of leading international researchers present detailed analyses of existing trends for storing and analyzing big data,...
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Cham: Springer International Publishing, 2017. — 104 p. — ISBN 978-3-319-62990-2. This book reviews a number of issues including: Why data generated from POC machines are considered as Big Data. What are the challenges in storing, managing, extracting knowledge from data from POC devices? Why is it inefficient to use traditional data analysis with big data? What are the solutions...
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Elsevier, 2018. — 464 p. — ISBN 978-0-12-811968-6. This book brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity...
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Elsevier, 2018. — 464 p. — ISBN 978-0-12-811968-6. This book brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity...
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Elsevier, 2018. — 464 p. — ISBN 978-0-12-811968-6. This book brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity...
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Elsevier, 2018. — 464 p. — ISBN 978-0-12-811968-6. This book brings together experts from academia, industry and regulatory agencies who share their understanding and discuss the big data analytics applications for power systems diagnostics, operation and control. Recent developments in monitoring systems and sensor networks dramatically increase the variety, volume and velocity...
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Springer International Publishing, 2016. — 328 p. — ISBN 978-3-319-33742-5. This book provides an overview of the resources and research projects that are bringing Big Data and High Performance Computing (HPC) on converging tracks. It demystifies Big Data and HPC for the reader by covering the primary resources, middleware, applications, and tools that enable the usage of HPC...
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Packt Publishing, 2014. — 96 p. Data volume is growing fast. However, data integration tools are not scalable enough to process such an amount of data, and thus, more and more companies are thinking about starting Big Data projects—diving into the Hadoop ecosystem projects, understanding each technology, learning MapReduce, Hive SQL, and Pig-Latin—thereby becoming more of a burden...
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Technical University of Munich, 2016. — 197 p. This thesis addresses several challenges in the area of human-machine communication for applications in data mining and visualization. An Immersive Visual Data Mining (IVDM) system is presented, which allows the interactive display of images in a Cave Automatic Virtual Environment (CAVE). New (interactive) algorithms based on...
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Arshdeep Bahga & Vijay Madisetti, 2019. — 542 p. — ISBN 978-1-949978-00-1. We are living in the dawn of what has been termed as the "Fourth Industrial Revolution", which is marked through the emergence of "cyber-physical systems" where software interfaces seamlessly over networks with physical systems, such as sensors, smartphones, vehicles, power grids or buildings, to create a...
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Springer, 2018. — 197 p. — ISBN 978-3319633596. This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to...
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Springer, 2018. — 197 p. — ISBN 978-3319633596. This book looks at the increasing interest in running microscopy processing algorithms on big image data by presenting the theoretical and architectural underpinnings of a web image processing pipeline (WIPP). Software-based methods and infrastructure components for processing big data microscopy experiments are presented to...
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Cengage Learning PTR, USA, 2014. — 433 p. — ISBN-13 978-1-305-11508-8. Our world is being transformed by big data. The growth of the Internet and the rapid expansion of mobile communications and related technologies have created a massive ¬ flow of data--both structured and unstructured. The availability and use of that data has enormous implications for businesses and for the...
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Springer, 2018. — 500 p. — ISBN 9811314012. The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for...
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Springer, 2018. — 500 p. — ISBN 9811314012. The book presents the latest, high-quality, technical contributions and research findings in the areas of data management and smart computing, big data management, artificial intelligence and data analytics, along with advances in network technologies. It discusses state-of-the-art topics as well as the challenges and solutions for...
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Springer, 2019. — 542 p. — ISBN: 9789811312748 The volume on Data Management, Analytics and Innovations presents the latest high-quality technical contributions and research results in the areas of data management and smart computing, big data management, artificial intelligence and data analytics along with advances in network technologies. It deals with the state-of-the-art...
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O’Reilly Media, 2013. — 32 p. — ISBN: 978-1-449-36421-2. Introduction How Fast Is Fast? How Real Is Real Time? The RTBDA Stack The Five Phases of Real Time How Big Is Big? of a Larger Trend
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Packt Publishing, 2017. — 228 p. — ISBN 1788392655. Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate...
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Packt Publishing, 2017. — 228 p. — ISBN 1788392655. Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and make accurate...
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Packt, 2017. — 219 p. — ISBN 10 1788392655, 13 978-1788392655. True PDF Implement your Business Intelligence solutions without any coding - by leveraging the power of the Alteryx platform Key Features Experience the power of codeless analytics using Alteryx, a leading Business Intelligence tool Uncover hidden trends and valuable insights from your data across different sources and...
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Springer, 2017. — 489 p. 19th International Conference, DaWaK 2017, Lyon, France, August 28–31, 2017, Proceedings. This book constitutes the refereed proceedings of the 19th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2017, held in Lyon, France, in August 2017. The 24 revised full papers and 11 short papers presented were carefully reviewed and...
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Springer, 2018. — 401 p. — ISBN 3319985388. This book constitutes the refereed proceedings of the 20th International Conference on Big Data Analytics and Knowledge Discovery, DaWaK 2018, held in Regensburg, Germany, in September 2018. The 13 revised full papers and 17 short papers presented were carefully reviewed and selected from 76 submissions. The papers are organized in the...
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Springer, 2013. — 477 p. This book presents current progress on challenges related to Big Data management by focusing on the particular challenges associated with context-aware data-intensive applications and services. The book is a state-of-the-art reference discussing progress made, as well as prompting future directions on the theories, practices, standards and strategies that...
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University of Siegen, 2016. — 181 p. Any adaptive analysis of domain specific data demands fully generic, sophisticated, and customizable methods. A mathematical representation and modelling of domain specific requirements ensure achieving this goal. In talent analytics and job knowledge management era, a mathematical model should resolve person-job-fit and skill mismatch problems...
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Chapman and Hall/CRC, 2016. — 470 p. — (Chapman & Hall/CRC Handbooks of Modern Statistical Methods). — ISBN: 1482249081, 9781482249088 Buhlmann P., Drineas P., Kane M., van der Laan M. Handbook of Big Data provides a state-of-the-art overview of the analysis of large-scale datasets. Featuring contributions from well-known experts in statistics and computer science, this...
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Palgrave Macmillan, 2016. — 148 p. This book brings together an impressive range of academic and intelligence professional perspectives to interrogate the social, ethical and security upheavals in a world increasingly driven by data. Written in a clear and accessible style, it offers fresh insights to the deep reaching implications of Big Data for communication, privacy and...
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University of Braunschweig – Institute of Technology, 2018. — 215 p. Weather forecasts serve as a fundamentally important input to the flight planning process and can carry an inherent measure of uncertainty. Such uncertainties thus lead to a trajectory being planned that does not represent the most cost-optimal option. Weather forecast generation relies on numerical simulations...
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London: Routledge, 2017. — 179 p. The importance of social media as a way to monitor an electoral campaign is well established. Day-by-day, hour-by-hour evaluation of the evolution of online ideas and opinion allows observers and scholars to monitor trends and momentum in public opinion well before traditional polls. However, there are difficulties in recording and analyzing often...
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Wiley-ISTE, 2018. — 436 p. — ISBN 1848217366, 9781848217362 For 200 years, industry mastered iron, fire, strength and energy. Today, electronics shapes our everyday objects, integrating chips: computers, phones, keys, games, household appliances, etc. Data, software and calculation frame the conduct of humankind, and everything is translated into data. The first volume in this...
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Springer International Publishing, 2017. — 332 p. — ISBN 978-3-319-54840-1. This book describes the current state of the art in big-data analytics, from a technology and hardware architecture perspective. The presentation is designed to be accessible to a broad audience, with general knowledge of hardware design and some interest in big-data analytics. Coverage includes emerging...
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Springer, 2019. — 137 p. — ISBN 978-3030235505. This volume constitutes the proceedings of the 8th International Congress on BIGDATA 2019, held as Part of SCF 2019 in San Diego, CA, USA .Held as Part of the Services Conference Federation, June 25–30. The 9 full papers presented in this volume were carefully reviewed and selected from 14 submissions. They cover topics such as: Big...
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Springer, 2014. — 100 p. — ISBN: 3319062441, 9783319062457 This Springer Brief provides a comprehensive overview of the background and recent developments of big data. The value chain of big data is divided into four phases: data generation, data acquisition, data storage and data analysis. For each phase, the book introduces the general background, discusses technical...
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Springer, 2018. — 388 р. — ISBN 978-3-319-95465-3. This edited volume focuses on big data implications for computational social science and humanities from management to usage. The first part of the book covers geographic data, text corpus data, and social media data, and exemplifies their concrete applications in a wide range of fields including anthropology, economics, finance,...
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Cham : Springer International Publishing, 2018. — 132 p. — ISBN 978-3-319-96116-3. This book provides a comprehensive picture of mobile big data starting from data sources to mobile data driven applications. Mobile Big Data comprises two main components: an overview of mobile big data, and the case studies based on real-world data recently collected by one of the largest mobile...
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Wiley, 2015. — 392 p. — ISBN: 9781119011552 A step-by-step guide to data mining applications in CRM. Following a handbook approach, this book bridges the gap between analytics and their use in everyday marketing, providing guidance on solving real business problems using data mining techniques. The book is organized into three parts. Part one provides a methodological...
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Springer, 2014. — 310 p. The field of data mining has made significant and far-reaching advances over the past three decades. Because of its potential power for solving complex problems, data mining has been successfully applied to diverse areas such as business, engineering, social media, and biological science. Many of these applications search for patterns in complex structural...
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Data Science, 2018. — 218 p. — ISBN-10 1723141208. If you are looking to start a new career that is in high demand, then you need to continue reading. Data scientists are changing the way big data is used in different institutions. Big data is everywhere, but without the right person to interpret it, it means nothing. So where do business find these people to help change their...
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New York: Springer, 2016. - 56p. Offers a condensed guide: short in length, but rich in notions and content for business people who do not have much time No technical language: completely understandable even for people with no technical background Deals with many different aspects of a big data strategy Created from direct experience in the field, as well as a series of...
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Elsevier, 2019. — 379 p. — ISBN 978-0-12-816637-6. This book examines sensor signal processing, IoT gateways, optimization and decision-making, intelligent mobility, and the implementation of machine learning algorithms in embedded systems, focusing on the interaction between IoT technology and the mathematical tools to evaluate the extracted data of those systems. Chapters...
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Springer International Publishing, 2019. — 294 p. — ISBN 978-3-030-03358-3, 978-3-030-03359-0. This book introduces the latest research findings in cloud, edge, fog, and mist computing and their applications in various fields using geospatial data. It solves a number of problems of cloud computing and big data, such as scheduling, security issues using different techniques, which...
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Packt Publishing, 2018. — 312 p. — ISBN 1783554398. Big Data Analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to bring out hidden patterns and insights from the data which otherwise cannot be analyzed through traditional systems. Through this book, you'll learn to setup big data environment on the AWS/Azure platform...
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Packt Publishing, 2018. — 312 p. — ISBN 1783554398. Big Data Analytics relates to the strategies used by organizations to collect, organize and analyze large amounts of data to bring out hidden patterns and insights from the data which otherwise cannot be analyzed through traditional systems. Through this book, you'll learn to setup big data environment on the AWS/Azure platform...
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Harvard Business Review Press, 2014. — 240 p. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means — and why...
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FT Press, 2012. — 1495 p. — ISBN-10 0-13-309124-4; ISBN-13 978-0-13-309124-3. A brand new collection of business analytics insights and actionable techniques… 3 authoritative books, now in a convenient e-format, at a great price! 3 authoritative eBooks deliver comprehensive analytics knowledge and tools for optimizing every critical business decision! Use business analytics to...
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Springer, 2019. — 384 р. — ISBN 3030105423. This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an...
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Springer, 2019. — 384 р. — ISBN 3030105423. This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an...
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Chapman and Hall/CRC Press, 2016. — 332 р. — ISBN 978-1498723619. Big Data of Complex Networks presents and explains the methods from the study of big data that can be used in analysing massive structural data sets, including both very large networks and sets of graphs. As well as applying statistical analysis techniques like sampling and bootstrapping in an interdisciplinary...
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Packt Publishing, 2018. — 384 p. — ISBN 978-1788472173. Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book Description In...
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Packt Publishing, 2018. — 384 p. — ISBN 978-1788472173. !Code files only Build next-generation Artificial Intelligence systems with Java Key Features Implement AI techniques to build smart applications using Deeplearning4j Perform big data analytics to derive quality insights using Spark MLlib Create self-learning systems using neural networks, NLP, and reinforcement learning Book...
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IGI Global, 2018. — 348 p. — ISBN 978-1522562078. To continue providing people with safe, comfortable, and affordable places to live, cities must incorporate techniques and technologies to bring them into the future. The integration of big data and interconnected technology, along with the increasing population, will lead to the necessary creation of smart cities. Big Data...
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Wiley, 2016. — 212 p. — ISBN 978-1848218062 Big Data is a new field, with many technological challenges to be understood in order to use it to its full potential. These challenges arise at all stages of working with Big Data, beginning with data generation and acquisition. The storage and management phase presents two critical challenges: infrastructure, for storage and...
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Springer Singapore, 2019. — 418 p. — (Lecture Notes on Data Engineering and Communications Technologies 16). — ISBN 9789811076404, EISBN 9789811076411. This book presents conjectural advances in big data analysis, machine learning and computational intelligence, as well as their potential applications in scientific computing. It discusses major issues pertaining to big data...
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Indianapolis: Wiley, 2015. - 435p. (автор и редактор не указаны, книга издана от имени EMC Educational Service) Data Science and Big Data Analytics is about harnessing the power of data for new insights. The book covers the breadth of activities and methods and tools that Data Scientists use. The content focuses on concepts, principles and practical applications that are...
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Springer, 2018. — 210 p. — (Studies in Big Data 42). — ISBN 9783319930602, 3319930605. This book highlights some of the most fascinating current uses, thought-provoking changes, and biggest challenges that Big Data means for our society. The explosive growth of data and advances in Big Data analytics have created a new frontier for innovation, competition, productivity, and...
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Springer, 2016. — 487 p. — ISBN 978-3319302638. The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society,...
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Springer, 2016. — 487 p. — ISBN 978-3319302638. The main objective of this book is to provide the necessary background to work with big data by introducing some novel optimization algorithms and codes capable of working in the big data setting as well as introducing some applications in big data optimization for both academics and practitioners interested, and to benefit society,...
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Kevin Feeney, Jim Davies, James Welch, Sebastian Hellmann, Christian Dirschl, Andreas Koller, Pieter Francois, Arkadiusz Marciniak. — River Publishers, 2018. — 436 p. — ISBN: 978-87-7022-016-3. To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the...
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River Publishers, 2018. — 250 p. — ISBN 9788770220163. To be effective, data-intensive systems require extensive ongoing customization to reflect changing user requirements, organizational policies, and the structure and interpretation of the data they hold. Manual customization is expensive, time-consuming, and error-prone. In large complex systems, the value of the data can be...
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Apress , 2014. — 236 p. — ISBN: 1484200411 Investors and technology gurus have called big data one of the most important trends to come along in decades. Big Data Bootcamp explains what big data is and how you can use it in your company to become one of tomorrow’s market leaders. Along the way, it explains the very latest technologies, companies, and advancements. Big data holds...
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Springer, 2011. — 364 p. — ISBN 978-3-642-20044-1. Since the 1990s Grid Computing has emerged as a paradigm for accessing and managing distributed, heterogeneous and geographically spread resources, promising that we will be able to access computer power as easily as we can access the electric power grid. Later on, Cloud Computing brought the promise of providing easy and...
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Www.aerospike.com, 2015. — 8 p. Contents: Executive Summary. Where Big Data Makes Money. Challenges for Traditional Big Data & Data Warehouses Processes. Technology Requirements for Inline Analytics. Technology Alternatives for Inline Analytics. Inline Analytics Approaches that Led to Positive ROIs. Conclusions & Recommendations.
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Chapman and Hall/CRC, Taylor & Francis Group, 2017. — 377 p. — (Statistics in the social and behavioral sciences series). — ISBN: 1498751407, 9781498751407 Foster I., Ghani R., Jarmin R.S., Kreuter F., Lane J. Both Traditional Students and Working Professionals Acquire the Skills to Analyze Social Problems. Big Data and Social Science: A Practical Guide to Methods and Tools shows...
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Springer International Publishing, Switzerland, 2016. — 405 p. — ISBN 3319445480. The objective of this book is to introduce the basic concepts of big data computing and then to describe the total solution of big data problems using HPCC, an open-source computing platform. The book comprises 15 chapters broken into three parts. The first part, Big Data Technologies, includes...
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Books on Demand GmbH, 2019. — 220 p. A technical book about popular space-efficient data structures and fast algorithms that are extremely useful in modern Big Data applications. Probabilistic data structures is a common name for data structures based mostly on different hashing techniques. Unlike regular (or deterministic) data structures, they always provide approximated answers...
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CreateSpace Independent Publishing Platform, 2016. — 204 p. — ISBN 978-1519559722. Data is the new Gold and Analytics is the machinery to mine, mold and mint it. Data analytics has become core to business and decision making. The rapid increase in data volume, velocity and variety, known as big data, offers both opportunities and challenges. While open source solutions to store...
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Morgan Kaufmann, 2016. — 105 p. — ISBN: 0128046317, 9780128046319 The WWW era made billions of people dramatically dependent on the progress of data technologies, out of which Internet search and Big Data are arguably the most notable. Structured Search paradigm connects them via a fundamental concept of key-objects evolving out of keywords as the units of search. The...
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Wiley, 2015. — 227 p. The book makes the case that big data is for real, and more than just big hype. The book uses real-life examples—from Nate Silver to Copernicus, and Apple to Blackberry—to demonstrate how the winners of the future will use big data to seek the truth. Written by a marketing journalist and the CEO of a multi-million-dollar B2B marketing platform that reaches...
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O'Reilly Media, 2019. — 200 p. Enterprises are experimenting with using Hadoop to build Big Data Lakes, but many projects are stalling or failing because the approaches that worked at Internet companies have to be adopted for the enterprise. This practical handbook guides managers and IT professionals from the initial research and decision-making process through planning, choosing...
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NSTA Press, 2017. — 225 p. — ISBN-13 978-1681402765. Now your students can transform their mobile phones and tablets into tools for learning about everything from weather to water quality. Big Data, Small Devices shows you how. This book is designed for Earth and environmental science teachers who want to help students tap into, organize, and deploy large data sets via their...
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NSTA Press, 2017. — 225 p. — ISBN-13 978-1681402765. Now your students can transform their mobile phones and tablets into tools for learning about everything from weather to water quality. Big Data, Small Devices shows you how. This book is designed for Earth and environmental science teachers who want to help students tap into, organize, and deploy large data sets via their...
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Elsevier, 2015. — 372 p. — (Handbook of Statistics. Vol. 33) — ISBN: 0444634924, 9780444634924 While the term Big Data is open to varying interpretation, it is quite clear that the Volume, Velocity, and Variety (3Vs) of data have impacted every aspect of computational science and its applications. The volume of data is increasing at a phenomenal rate and a majority of it is...
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2nd Edition. — O’Reilly Media, 2019. — 72 р. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from...
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2nd Edition. — O’Reilly Media, 2019. — 72 р. Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. With this updated second edition, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from...
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Wiley, 2019. — 296 р. — ISBN 978-1119522195. Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big...
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Wiley, 2019. — 296 р. — ISBN 978-1119522195. Get to know the ‘why’ and ‘how’ of machine learning and big data in quantitative investment Big Data and Machine Learning in Quantitative Investment is not just about demonstrating the maths or the coding. Instead, it’s a book by practitioners for practitioners, covering the questions of why and how of applying machine learning and big...
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Technical University of Munich, 2016. — 153 p. Efficient learning algorithms gain importance in the time of Big Data and decentralized data processing (e.g. Internet of Things). The thesis evaluates one class of such efficient algorithms: the incremental linear model trees. The algorithms are systematically compared on stationary Big Data and are improved in their usability by the...
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New York: Springer, 2017. — 532 p. This essential guide to a broad spectrum of big data analytics in cross-disciplinary applications focuses on the statistical prospects offered by recent developments in this field. To do so, it covers statistical methods for high-dimensional problems, algorithmic designs, computation tools, analysis flows and the software-hardware co-designs that...
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Packt Publishing, 2017. — 264 p. Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and querying massive datasets Learn everything you need to know about Google BigQuery Book Description...
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Packt Publishing, 2017. — 264 p. Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and querying massive datasets Learn everything you need to know about Google BigQuery Book Description...
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Packt Publishing, 2017. — 264 p. !Code files only Get a fundamental understanding of how Google BigQuery works by analyzing and querying large datasets Key Features Get started with BigQuery API and write custom applications using it Learn how BigQuery API can be used for storing, managing, and querying massive datasets Learn everything you need to know about Google BigQuery Book...
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CRC Press, 2019. — 356 р. Big data and the Internet of Things (IoT) play a vital role in prediction systems used in biological and medical applications, particularly for resolving issues related to disease biology at different scales. Modelling and integrating medical big data with the IoT helps in building effective prediction systems for automatic recommendations of diagnosis...
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Cham: Springer, 2015. — 72 p. — ISBN 978-3-319-09426-7. Movies will never be the same after you learn how to analyze movie data, including key data mining, text mining and social network analytics concepts. These techniques may then be used in endless other contexts. In the movie application, this topic opens a lively discussion on the current developments in big data from a data...
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Springer, 2015. — 679 p. 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part I. The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the...
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Springer, 2015. — 644 p. 5th International Conference, IScIDE 2015, Suzhou, China, June 14-16, 2015, Revised Selected Papers, Part II. The two-volume set LNCS 9242 + 9243 constitutes the proceedings of the 5th International Conference on Intelligence Science and Big Data Engineering, IScIDE 2015, held in Suzhou, China, in June 2015. The total of 126 papers presented in the...
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CRC Press, 2016. - 208 p. - ISBN: 1138196185 Disk-Based Algorithms for Big Data is a product of recent advances in the areas of big data, data analytics, and the underlying file systems and data management algorithms used to support the storage and analysis of massive data collections. The book discusses hard disks and their impact on data management, since Hard Disk Drives...
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Oxford University Press, 2018. — 144 p. — (Very Short Introductions). — ISBN 0198779577 Since long before computers were even thought of, data has been collected and organized by diverse cultures across the world. Once access to the Internet became a reality for large swathes of the world's population, the amount of data generated each day became huge, and continues to grow...
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Springer, 2017. — 223 p. — ISBN 9783319524900, 9783319524917. This book demonstrates the use of a wide range of strategic engineering concepts, theories and applied case studies to improve the safety, security and sustainability of complex and large-scale engineering and computer systems. It first details the concepts of system design, life cycle, impact assessment and security to...
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Academic Press, 2017. — 309 p. — ISBN 978-0-12-809393-1. This book explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It...
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CRC Press, 2016. — 449 p. — ISBN 78-1-4987-3487-5. Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details—making them unsuitable to R&D people. To fill such a need, Big data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers...
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CRC Press, 2016. — 449 p. — ISBN 78-1-4987-3487-5. Although there are already some books published on Big Data, most of them only cover basic concepts and society impacts and ignore the internal implementation details—making them unsuitable to R&D people. To fill such a need, Big data: Storage, Sharing, and Security examines Big Data management from an R&D perspective. It covers...
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CRC Press, 2019. — 218 p. — ISBN 1498799760. Military organizations around the world are normally huge producers and consumers of data. Accordingly, they stand to gain from the many benefits associated with data analytics. However, for leaders in defense organizations"•either government or industry"•accessible use cases are not always available. This book presents a diverse...
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Wiley, 2013. — 336 p. — ISBN 1118504224, 9781118504222. Find the right big data solution for your business or organization Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly...
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Publisher: Wiley, 2013, 336 p. Book Description Big data management is one of the major challenges facing business, industry, and not-for-profit organizations. Data sets such as customer transactions for a mega-retailer, weather patterns monitored by meteorologists, or social network activity can quickly outpace the capacity of traditional data management tools. If you need to...
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Wiley, 2015. — 288 p. — ISBN 1118896629, 9781118896624. A comprehensive guide to learning technologies that unlock the value in big data. Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying...
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Wiley, 2015. — 288 p. — ISBN 1118896629, 9781118896624. A comprehensive guide to learning technologies that unlock the value in big data. Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying...
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Wiley, 2015. — 288 p. — ISBN 1118896629, 9781118896624. A comprehensive guide to learning technologies that unlock the value in big data. Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying...
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Wiley, 2015. — 288 p. — ISBN 1118896629, 9781118896624. A comprehensive guide to learning technologies that unlock the value in big data. Cognitive Computing provides detailed guidance toward building a new class of systems that learn from experience and derive insights to unlock the value of big data. This book helps technologists understand cognitive computing's underlying...
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Wiley, 2017. — 432 p. — ISBN 978-1119247029. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the...
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Wiley. 2017. — 432 p. — ISBN 978-1119247043. The definitive guide to successfully integrating social, mobile, Big-Data analytics, cloud and IoT principles and technologies The main goal of this book is to spur the development of effective big-data computing operations on smart clouds that are fully supported by IoT sensing, machine learning and analytics systems. To that end, the...
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IGI Global, 2016. — 2478 p. — ISBN 978-1466698406. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
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IGI Global, 2016. — 2478 p. — ISBN 978-1466698406. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
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Springer, 2015. — 602 p. — ISBN:3662467410 Intan R., Chi C.-H., Palit H.N., Santoso L.W. This book constitutes the refereed proceedings of the 4th International Conference on Soft Computing, Intelligent Systems, and Information Technology, ICSIIT 2015, held in Bali, Indonesia, in March 2015. The 34 revised full papers presented together with 19 short papers, one keynote and...
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CRC Press, 2015. — 200 p. — ISBN 149871093X, 9781498710930 This book focuses on the basic concepts and the related technologies of data mining for social medial. Topics include: big data and social data, data mining for making a hypothesis, multivariate analysis for verifying the hypothesis, web mining and media mining, natural language processing, social big data applications,...
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Springer, 2016. — 333 p. — Studies in Big Data 16 — ISBN: 9783319269870 This edited volume is devoted to Big Data Analysis from a Machine Learning standpoint as presented by some of the most eminent researchers in this area. It demonstrates that Big Data Analysis opens up new research problems which were either never considered before, or were only considered within a limited...
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Routledge, Taylor & Francis, USA, 2017. — 382 p. — ISBN 1138791938. While laboratory research is the backbone of collecting experimental data in cognitive science, a rapidly increasing amount of research is now capitalizing on large-scale and real-world digital data. Each piece of data is a trace of human behavior and offers us a potential clue to understanding basic cognitive...
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O’Reilly Media, 2015. — 27 p. In this report, we collect data from the Web, analyze it to produce insight, and interpret insight to produce market intelligence. Our data comes from partnership pages on vendor websites. The primary analytic tool in our toolbox is social network analysis.
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CRC Press, 2016. — 529 p. — ISBN 1498715338. This book unravels the mystery of Big Data computing and its power to transform business operations. The approach it uses will be helpful to any professional who must present a case for realizing Big Data computing solutions or to those who could be involved in a Big Data computing project. It provides a framework that enables business...
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Auerbach Publications; CRC Press, 2018. — 409 p. — ISBN 1498751288, 9781498751285, 9781351648493, 1351648497. "Vivek Kale's Creating Smart Enterprises goes smack-dab at the heart of harnessing technology for competing in today's chaotic digital era. Actually, for him, it's SMACT-dab: SMACT (Social media, Mobile, Analytics and big data, Cloud computing, and internet of Things)...
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CRC Press, 2014. — 240 p. — ISBN: 1466592370, 9781466592377 Big Data: A Business and Legal Guide supplies a clear understanding of the interrelationships between Big Data, the new business insights it reveals, and the laws, regulations, and contracting practices that impact the use of the insights and the data. Providing business executives and lawyers (in-house and in...
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Packt Publishing, 2017. — 296 p. — ASIN B071VVFDMP. +Sample files Key Features Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Book Description Frank Kane's Taming Big Data with Apache Spark and Python...
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Packt Publishing, 2017. — 296 p. — ASIN B071VVFDMP. +Sample files Key Features Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Book Description Frank Kane's Taming Big Data with Apache Spark and Python...
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Packt Publishing, 2017. — 296 p. — ASIN B071VVFDMP. True PDF +Sample files Key Features: Understand how Spark can be distributed across computing clusters Develop and run Spark jobs efficiently using Python A hands-on tutorial by Frank Kane with over 15 real-world examples teaching you Big Data processing with Spark Book Description Frank Kane's Taming Big Data with Apache Spark...
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Technical University of Munich, 2016. — 180 p. High-dimensional data analysis becomes ubiquitous. Here, nonparametric models, i.e. sparse grid models, suffer exponential growth of complexity in high dimensions. To delay the onset of this curse, this thesis develops the learning algorithms that simultaneously optimise the model parameters and the structure to befit the problem. The...
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The Institution of Engineering and Technology, 2019. — 367 p. — (IET Professional Applications of Computing Series 35). — ISBN 981-1-78561-975-5. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In...
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The Institution of Engineering and Technology, 2019. — 520 p. — (Computing and Networks). — ISBN 10 1785619772, 13 978-1785619779. First designed to generate personalized recommendations to users in the 90s, recommender systems apply knowledge discovery techniques to users' data to suggest information, products, and services that best match their preferences. In recent decades, we...
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New York: Springer, 2019. — 93 p. This book presents deep learning techniques, concepts, and algorithms to classify and analyze big data. Further, it offers an introductory level understanding of the new programming languages and tools used to analyze big data in real-time, such as Hadoop, SPARK, and GRAPHX. Big data analytics using traditional techniques face various challenges,...
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New York: Springer, 2016. — 231 p. This book presents new approaches that advance research in all aspects of agent-based models, technologies, simulations and implementations for data intensive applications. The nine chapters contain a review of recent cross-disciplinary approaches in cloud environments and multi-agent systems, and important formulations of data intensive problems...
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Technical University of Munich, 2018. — 186 p. Predicting the risk of complex diseases is a field of growing relevance in medicine and shows high potential of refinement and improvement by integrating new data types and larger data sets. In this thesis, we investigate and overcome issues on several challenges in this field by applying and developing statistical methodology for...
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Springer International Publishing, 2018. — 260 p. This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book...
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Springer International Publishing, 2018. — 260 p. This book examines the methodological foundations of the Big Data-driven world, formulates its concept within the frameworks of modern control methods and theories, and approaches the peculiarities of Control Technologies as a specific sphere of the Big Data-driven world, distinguished in the modern Digital Economy. The book...
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Morgan Kaufmann , 2013. – 370 p. – ISBN: 0124058914, 9780124058910 The Morgan Kaufmann Series on Business Intelligence Data Warehousing in the Age of the Big Data will help you and your organization make the most of unstructured data with your existing Data Warehouse. As Big Data continues to revolutionize how we use data, it doesn't have to create more confusion. Expert...
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O'Reilly Media, 2015. — 220 p. — ISBN-10: 1491923946. — ISBN-13: 978-1491923948 Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a...
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O'Reilly Media, 2015. — 220 p. — ISBN-10: 1491923946. — ISBN-13: 978-1491923948 Finding patterns in massive event streams can be difficult, but learning how to find them doesn’t have to be. This unique hands-on guide shows you how to solve this and many other problems in large-scale data processing with simple, fun, and elegant tools that leverage Apache Hadoop. You’ll gain a...
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CRC Press, 2014. — 305 p. — EISBN: 9781466568716 Big data and analytics promise to change virtually every industry and business function over the next decade. Any organization that gets started early with big data can gain a significant competitive edge. Just as early analytical competitors in the small data era (including Capital One bank, Progressive Insurance, and Marriott...
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IGI Global, 2016. — 251 p. — ISBN 978-1522508861. Operations management is a tool by which companies can effectively meet customers needs using the least amount of resources necessary. With the emergence of sensors and smart metering, big data is becoming an intrinsic part of modern operations management. Applied Big Data Analytics in Operations Management enumerates the...
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Springer, 2017. — 291 p. This edited volume lays the groundwork for Social Data Science, addressing epistemological issues, methods, technologies, software and applications of data science in the social sciences. It presents data science techniques for the collection, analysis and use of both online and offline new (big) data in social research and related applications. Among...
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Springer, 2019. — 297 p. — (Lecture Notes in Information Systems and Organisation 27). — ISBN 9783319904993, 9783319905006. Alessandra Lazazzara, Raoul C.D. Nacamulli, Cecilia Rossignoli, Stefano Za (Eds.) This book presents a collection of research papers exploring the human side of digital innovation management, with a specific focus on what people say and share on social media,...
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Wiley, 2015. — 282 p. — ISBN: 9781119015581 Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis using examples from research and industry There are...
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Wiley, 2016. — 205 p. — ISBN 10 1119015588, 13 978-1119015581. True PDF Fundamentals of Big Data Network Analysis for Research and Industry Hyunjoung Lee, Institute of Green Technology, Yonsei University, Republic of Korea Il Sohn, Material Science and Engineering, Yonsei University, Republic of Korea Presents the methodology of big data analysis using examples from research and...
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Packt, 2018. — 306 p. — ISBN 978-1788620901. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with expert techniques presented in this book Book...
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James Lee, Tao Wei, Suresh Kumar Mukhiya. — Packt Publishing, 2018. — 306 p. — ISBN 978-1-78862-090-1. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with...
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James Lee, Tao Wei, Suresh Kumar Mukhiya. — Packt Publishing, 2018. — 306 p. — ISBN 978-1-78862-090-1. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with...
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James Lee, Tao Wei, Suresh Kumar Mukhiya. — Packt Publishing, 2018. — 306 p. — ISBN 978-1-78862-090-1. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with...
  • №142
  • 23,34 МБ
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James Lee, Tao Wei, Suresh Kumar Mukhiya. — Packt Publishing, 2018. — 306 p. — ISBN 978-1-78862-090-1. Solve all big data problems by learning how to create efficient data models Key Features Create effective models that get the most out of big data Apply your knowledge to datasets from Twitter and weather data to learn big data Tackle different data modeling challenges with...
  • №143
  • 2,52 МБ
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Springer International Publishing, 2019. — 196 p. — ISBN 978-3-319-96802-5;978-3-319-96803-2. This book presents the outcomes of the 3rd IEEE/ACIS International Conference on Big Data, Cloud Computing, Data Science & Engineering (BCD 2018), which was held on July 10–12, 2018 in Kanazawa. The aim of the conference was to bring together researchers and scientists, businesspeople and...
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Springer, 2019. — 188 p. — (Studies in Big Data 48). — ISBN 978-3-030-01179-6. Deep Learning and Missing Data in Engineering Systems uses deep learning and swarm intelligence methods to cover missing data estimation in engineering systems. The missing data estimation processes proposed in the book can be applied in image recognition and reconstruction. To facilitate the imputation...
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N.-Y.: Chapman and Hall/CRC, 2015. — 476 p. Data are generated at an exponential rate all over the world. Through advanced algorithms and analytics techniques, organizations can harness this data, discover hidden patterns, and use the findings to make meaningful decisions. Containing contributions from leading experts in their respective fields, this book bridges the gap...
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  • 51,79 МБ
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CRC Press, 2017. — 593 p. — ISBN-13: 9781498768078. Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage...
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CRC Press, 2017. — 593 p. — ISBN-13: 9781498768078. Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage...
  • №148
  • 6,80 МБ
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CRC Press, 2017. — 593 p. — ISBN-13: 9781498768078. Big Data Management and Processing explores a range of big data related issues and their impact on the design of new computing systems. The twenty-one chapters were carefully selected and feature contributions from several outstanding researchers. The book endeavors to strike a balance between theoretical and practical coverage...
  • №149
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Morgan Kaufmann, 2015. — 107 p. — ISBN: 9780128025727 With the rapid growth of Cloud computing, the size of Cloud data is expanding at a dramatic speed. A huge amount of data is generated and processed by Cloud applications, putting a higher demand on cloud storage. While data reliability should already be a requirement, data in the Cloud needs to be stored in a highly...
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Boca Raton: CRC Press, 2013. - 304p. With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on...
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Boca Raton: CRC Press, 2013. — 293 p. With the growing barrage of "big data," it becomes vitally important for organizations to make sense of this data and information in a timely and effective way. That’s where analytics come into play. Research shows that organizations that use business analytics to guide their decision making are more productive and experience higher returns on...
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CRC Press, 2015. — 344 p. The book focuses on this intuition-based decision making. The book does not discount data-based decision making, especially for decisions that are important and complex. Instead, it emphasizes the importance of applying intuition, gut feel, spirituality, experiential learning, and insight as key factors in the executive decision-making process. Explaining...
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John Wiley and Sons, 2018. — 186 p. — ISBN 978-1-119-51235-6. Analytics is the new force driving business. Tools have been created to measure program impacts and ROI, visualize data and business processes, and uncover the relationship between key performance indicators, many using the unprecedented amount of data now flowing into organizations. Featuring updated examples and...
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Elsevier, 2016. — 196 p. — ISBN: 9780128037324 This book provides users with a comprehensive discussion on how to develop and implement advanced statistical and computational methodologies for use in five high-impact areas where big data is collected, including computer vision, geosciences, commerce, healthcare and transportation.
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Morgan Kaufmann, 2013. — 130 p. — ISBN: 0124173195, 9780124173194 Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a...
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Springer, 2015. — 419 p. 17th International Conference, DaWaK 2015, Valencia, Spain, September 1-4, 2015, Proceedings. This book constitutes the refereed proceedings of the 17th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2015, held in Valencia, Spain, September 2015. The 31 revised full papers presented were carefully reviewed and selected from 90...
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Springer, 2016. — 393 p. 18th International Conference, DaWaK 2016, Porto, Portugal, September 6-8, 2016, Proceedings. This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016. The 25 revised full papers presented were carefully reviewed and selected from 73...
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Springer, 2016. — 338 р. — ISBN 978-3-319-43945-7. This book constitutes the refereed proceedings of the 18th International Conference on Data Warehousing and Knowledge Discovery, DaWaK 2016, held in Porto, Portugal, September 2016. The 25 revised full papers presented were carefully reviewed and selected from 73 submissions. The papers are organized in topical sections on...
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Anil Maheshwari, 2015. — 256 р. This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area,...
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Anil Maheshwari, 2015. — 256 р. This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area,...
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  • 2,81 МБ
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Anil Maheshwari, 2015. — 256 р. This books fills the need for an easy and holistic book on essential Big Data technologies. Written in a lucid and simple language free from jargon and code, this book provides an intuition for Big Data from business as well as technological perspectives. This book is designed to provide the reader with the intuition behind this evolving area,...
  • №162
  • 2,79 МБ
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O'Reilly, 2018. — 189 р. — ISBN 1492038741. Big Data Solution Architecture provides everyone from CIOs and COOs to lead architects and lead developers with the fundamental concepts of big data development. Authors Ted Malaska and Jonathan Seidman guide you through all the major components necessary to start, architect, and develop successful big data projects. This practical book...
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Addison–Wesley, 2013 © 2014. — 245 p. — ISBN 0321898656, 9780321898654 Michael Manoochehri, a former Google engineer and data hacker, writes for professionals who need practical solutions that can be implemented with limited resources and time. Drawing on his extensive experience, he helps you focus on building applications, rather than infrastructure, because that’s where you...
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Auerbach Publications, 2014. — 340 p. — ISBN: 1482229234, 9781482229233 A series of business processes within healthcare including data architecture, software, analytics, and data visualization are required to make big data and health analytics possible. In this book some of the pioneers of big data and health analytics show how healthcare practitioners and organizations are...
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Springer, 2017. — 267 p. — ISBN: 978-3-319-45497-9, 978-3-319-45498-6 This book focuses on the analytic principles of business practice and big data. Specifically, it provides an interface between the main disciplines of engineering/technology and the organizational and administrative aspects of management, serving as a complement to books in other disciplines such as economics,...
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Manning Publications, 2015. — 330 p. Services like social networks, web analytics, and intelligent e-commerce often need to manage data at a scale too big for a traditional database. Complexity increases with scale and demand, and handling Big Data is not as simple as just doubling down on your RDBMS or rolling out some trendy new technology. Fortunately, scalability and...
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Manning Publications, 2015. — 328 p. — ISBN 1617290343 Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a...
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Manning Publications, 2015. — 374 p. — ISBN 9781617290343. Целевая аудитория: опытные разработчики. В настоящее время никого не удивить большими данными и сложными архитектурными монстрами вроде Yahoo или Google, однако всё это не так тяжело, каким кажется, и работать с большими данными может любой разработчик. В этой книге описываются теоретические основы организации систем...
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Manning Publications, 2015. — 374 p. — ISBN 9781617290343. Целевая аудитория: опытные разработчики. В настоящее время никого не удивить большими данными и сложными архитектурными монстрами вроде Yahoo или Google, однако всё это не так тяжело, каким кажется, и работать с большими данными может любой разработчик. В этой книге описываются теоретические основы организации систем...
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Cham: Springer International Publishing, 2017. — 141 p. — ISBN 978-3-319-59186-5. The book proposes a systematic approach to big data collection, documentation and development of analytic procedures that foster collaboration on a large scale. This approach, designated as data factoring emphasizes the need to think of each individual dataset developed by an individual project as...
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Artech House , 2017. — 294 p. — ISBN 1630813214, 9781630813215. This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find...
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Artech House, 2017. — 313 p. This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and examples...
  • №173
  • 10,14 МБ
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Springer Vieweg, 2019. — 229 p. — ISBN 978-3658245481, 3658245484. This book offers a comprehensive introduction to relational (SQL) and non-relational (NoSQL) databases. The authors thoroughly review the current state of database tools and techniques, and examine coming innovations. The book opens with a broad look at data management, including an overview of information systems...
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Packt Publishing, 2017. — 404 p. — ISBN 1785281941. + Sample Files Key Features This unique guide teaches you how to visualize your cluttered, huge amounts of big data with ease It is rich with ample options and solid use cases for big data visualization, and is a must-have book for your shelf Improve your decision-making by visualizing your big data the right way Book Description...
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Wiley, 2013. — 187 p. — ISBN 111814760X, 9781118147603. Unique prospective on the big data analytics phenomenon for both business and IT professionals. The availability of Big Data, low-cost commodity hardware and new information management and analytics software has produced a unique moment in the history of business. The convergence of these trends means that we have the...
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Nomad Press, 2018. — 128 р. — ISBN 1619306794. All of these questions are questions about data. Data is information. It can be stored in books, magazines, on graph paper, in computers, and with many other methods. Most of the data that exists today is stored in computers, and the amount of data humans produce is doubling every year and half. That’s why it’s called big data! In Big...
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Nomad Press, 2018. — 128 p. — ISBN 1619306794. What is big data and what does it have to do with you? Have you watched videos online today? Did you post photographs on social media? Did you upload your English essay to Google docs? All of these questions are questions about data. Data is information. It can be stored in books, magazines, on graph paper, in computers, and with many...
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Springer, 2015. — 212 p. — ISBN: 9783319106649 This book presents and discusses the main strategic and organizational challenges posed by Big Data and analytics in a manner relevant to both practitioners and scholars. The first part of the book analyzes strategic issues relating to the growing relevance of Big Data and analytics for competitive advantage, which is also...
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Paradigm Publishers, 2014. — 284 p. — ISBN: 9781612056159 Cloud computing and big data are arguably the most significant forces in information technology today. In the wake of revelations about National Security Agency (NSA) activities, many of which occur "in the cloud", this book offers both enlightenment and a critical view. Vincent Mosco explores where the cloud originated,...
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Cham : Springer International Publishing, 2019. — 187 p. — ISBN 978-3-319-97864-2. This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat...
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Cham : Springer International Publishing, 2019. — 187 p. — ISBN 978-3-319-97864-2. This book highlights the state of the art and recent advances in Big Data clustering methods and their innovative applications in contemporary AI-driven systems. The book chapters discuss Deep Learning for Clustering, Blockchain data clustering, Cybersecurity applications such as insider threat...
  • №182
  • 13,78 МБ
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Wiley, 2013. — 176 p. Focusing on the business and financial value of big data analytics, respected technology journalist Frank J. Ohlhorst shares his insights on the newly emerging field of big data analytics in Big Data Analytics. This breakthrough book demonstrates the importance of analytics, defines the processes, highlights the tangible and intangible values and discusses...
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Springer, 2019. - 404p. - ISBN: 9783030168407 This book presents the original articles that have been accepted in the 2019 INNS Big Data and Deep Learning (INNS BDDL) international conference, a major event for researchers in the field of artificial neural networks, big data and related topics, organized by the International Neural Network Society and hosted by the University of...
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Singapore: World Scientific, 2017. — 860 p. Containing twenty six contributions by experts from all over the world, this book presents both research and review material describing the evolution and recent developments of various pattern recognition methodologies, ranging from statistical, linguistic, fuzzy-set-theoretic, neural, evolutionary computing and rough-set-theoretic to...
  • №185
  • 34,80 МБ
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Boca Raton, FL: CRC Press, Taylor & Francis Group, 2018. — 323 p. — ISBN 978-1-315-11262-6. Social networking has increased drastically in recent years, resulting in an increased amount of data being created daily. Furthermore, diversity of issues and complexity of the social networks pose a challenge in social network mining. Traditional algorithm software cannot deal with such...
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  • 11,27 МБ
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Oakville, Canada: Arcler Pres, 2019. — 430 p. — ISBN 1773615041. Big Data Analytics - Methods and Applications is a comprehensive book that examines various big data modelling and analytics approaches, infrastructure and security issues in analysis of big data, applications of big data in business, finance and management. Provides the readers with insights on methodology and...
  • №187
  • 42,15 МБ
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Apress, 2018. — 177 p. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology....
  • №188
  • 2,28 МБ
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Apress, 2018. — 177 p. Examine the problem of maintaining the quality of big data and discover novel solutions. You will learn the four V’s of big data, including veracity, and study the problem from various angles. The solutions discussed are drawn from diverse areas of engineering and math, including machine learning, statistics, formal methods, and the Blockchain technology....
  • №189
  • 4,74 МБ
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Springer Singapore, 2019. — 587 p. — ISBN 978-981-13-1881-8, 978-981-13-1882-5. This book is a compendium of the proceedings of the International Conference on Big Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This volume...
  • №190
  • 20,33 МБ
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Cham: Springer International Publishing, 2018. — 271 p. — ISBN 978-3-319-79036-7. This timely book offers rare insight into the field of cybersecurity in Russia -- a significant player with regard to cyber-attacks and cyber war. Big Data Technologies for Monitoring of Computer Security presents possible solutions to the relatively new scientific/technical problem of developing an...
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Springer, 2017. — 570 p. — ISBN 978-3-319-41217-7. This volume provides a snapshot of the current and future trends in turbulence research across a range of disciplines. It provides an overview of the key challenges that face scientific and engineering communities in the context of huge databases of turbulence information currently being generated, yet poorly mined. These...
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Packt Publishing, 2017. — 266 p. — ISBN 978-1788290906. Combine SAS with platforms such as Hadoop, SAP HANA, and Cloud Foundry-based platforms for effecient Big Data analytics Learn how to use the web browser-based SAS Studio and iPython Jupyter Notebook interfaces with SAS Practical, real-world examples on predictive modeling, forecasting, optimizing and reporting your Big Data...
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Notion Press, 2016. — 170 p. — ISBN: 1946390712. Big Data Analytics Made Easy is a must-read for everybody as it explains the power of Analytics in a simple and logical way along with an end to end code in R. It covers Machine Learning concepts and provides in-depth knowledge on unsupervised as well as supervised Learning, which is very important for decision-making. The...
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  • 1,32 МБ
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N.-Y.: CRC Press, 2015. - 576p. With this book, managers and decision makers are given the tools to make more informed decisions about big data purchasing initiatives. Big Data Analytics: A Practical Guide for Managers not only supplies descriptions of common tools, but also surveys the various products and vendors that supply the big data market. Comparing and contrasting the...
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Springer, 2013 © 2014. — 632 p. 17 illus., 16 illus. in color — ISBN: 9781461445449 Cognitive Networked Sensing and Big Data defines high-dimensional data processing in the context of wireless distributed computing and cognitive sensing. This book presents the challenges that are unique to this area such as synchronization caused by the high mobility of the nodes. The authors...
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  • 3,90 МБ
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Singapore: Springer Singapore, 2018. — 109 p. — ISBN 978-981-10-7763-0. This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining...
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  • 3,68 МБ
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Singapore : Springer Singapore, 2018. — 97 p. — ISBN 978-981-13-0263-3. This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining...
  • №198
  • 1,94 МБ
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Apress, 2018. — 557 p. — ISBN 978-1484231463. Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main...
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  • 24,04 МБ
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Apress, 2018. — 557 p. — ISBN 978-1484231463. Utilize this practical and easy-to-follow guide to modernize traditional enterprise data warehouse and business intelligence environments with next-generation big data technologies. Next-Generation Big Data takes a holistic approach, covering the most important aspects of modern enterprise big data. The book covers not only the main...
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  • 20,10 МБ
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Springer, 2015. — 207 p. — ISBN: 9783319105956 Rabl T., Raghunath N., Poess M., Bhandarkar M., Jacobsen H.-A., Baru C. (Eds.) This book constitutes the thoroughly refereed joint proceedings of the Third and Fourth Workshop on Big Data Benchmarking. The third WBDB was held in Xi'an, China, in July 2013 and the Fourth WBDB was held in San José, CA, USA, in October, 2013. The...
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  • 38,77 МБ
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6th International Workshop, WBDB 2015 Toronto, ON, Canada, June 16-17, 2015 and 7th International Workshop, WBDB 2015 New Delhi, India, December 14-15, 2015 Revised Selected Papers. — Springer, 2016. — 132 p. — ISBN 3319497472. This book constitutes the thoroughly refereed post-workshop proceedings of the 6th International Workshop on Big Data Benchmarking, WBDB 2015, held in...
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Taylor & Francis Group LLC, CRC Press, 2019. — 203 p. — ISBN-13 978-0-367-18345-5. Big data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File...
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  • 4,23 МБ
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Taylor & Francis Group LLC, CRC Press, 2019. — 203 p. — ISBN-13 978-0-367-18345-5. Big data: A Tutorial-Based Approach explores the tools and techniques used to bring about the marriage of structured and unstructured data. It focuses on Hadoop Distributed Storage and MapReduce Processing by implementing (i) Tools and Techniques of Hadoop Eco System, (ii) Hadoop Distributed File...
  • №204
  • 2,08 МБ
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Springer, 2017. — 452 p. — ISBN 978-3319363240. This book presents a detailed review of high-performance computing infrastructures for next-generation big data and fast data analytics. Features: includes case studies and learning activities throughout the book and self-study exercises in every chapter; presents detailed case studies on social media analytics for intelligent...
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Springer, 2018. — 413 p. — ISBN 978-9811071997. This book is a compendium of the proceedings of the International Conference on Big-Data and Cloud Computing. It includes recent advances in the areas of big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. Primarily focusing on the application of...
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CRC Press, 2017. — 387 p. — ISBN 978-1-4987-5355-5. This book is a subfield of Operations Research, dealing with decision making problems. A decision-making problem is characterized by the need to choose one or a few among a number of alternatives. The field of MCDM assumes special importance in this era of Big Data and Business Analytics. In this volume, the focus will be on...
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CRC Press, 2011. — 542 p. — 2nd ed. — ISBN: 1439860912, 9781439860915 The second edition of a bestseller, Statistical and Machine-Learning Data Mining: Techniques for Better Predictive Modeling and Analysis of Big Data is still the only book, to date, to distinguish between statistical data mining and machine-learning data mining. The first edition, titled Statistical Modeling...
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Saarland University, 2016. — 167 p. In recent years, the database community has witnessed the advent and breakthrough of many new system designs like the famous Hadoop MapReduce or main memory databases like MonetDB, Hekaton, SAP Hana, and HyPer to solve the problems of “Big Data”. The system architectures in this generation of emerging systems often radically differ from...
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University of Westminster Press, 2018. — 156 p. This book highlights that the capacity for gathering, analysing, and utilising vast amounts of digital (user) data raises significant ethical issues. Annika Richterich provides a systematic contemporary overview of the field of critical data studies that reflects on practices of digital data collection and analysis. The book assesses...
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Singapore: Springer Singapore, 2018. — 381 p. — ISBN 978-981-10-8476-8. This book presents the current trends, technologies, and challenges in Big Data in the diversified field of engineering and sciences. It covers the applications of Big Data ranging from conventional fields of mechanical engineering, civil engineering to electronics, electrical, and computer science to areas in...
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Springer International Publishing, 2016. — 231 p. — ISBN 978-3-319-30315-4. This book presents valuable contributions devoted to practical applications of Machine Intelligence and Big Data in various branches of the industry. All the contributions are extended versions of presentations delivered at the Industrial Session the 6th International Conference on Pattern Recognition and...
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  • 6,63 МБ
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Springer, 2019. — XLVI + 1820 p. — ISBN 978-3-319-77526-5. The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers...
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  • 46,02 МБ
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Springer, 2019. — XLVI + 1820 p. — ISBN 978-3-319-77526-5. The Encyclopedia of Big Data Technologies provides researchers, educators, students and industry professionals with a comprehensive authority over the most relevant Big Data Technology concepts. With over 300 articles written by worldwide subject matter experts from both industry and academia, the encyclopedia covers...
  • №214
  • 109,63 МБ
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Springer, 2017. — 895 p. — ISBN 978-3319493398. This handbook offers comprehensive coverage of recent advancements in Big Data technologies and related paradigms. Chapters are authored by international leading experts in the field, and have been reviewed and revised for maximum reader value. The volume consists of twenty-five chapters organized into four main parts. Part one...
  • №215
  • 4,06 МБ
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Apress, 2018. — 335 p. — ISBN 1484235215. Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational...
  • №216
  • 8,69 МБ
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Apress, 2018. — 335 p. — ISBN 1484235215. Use this practical guide to successfully handle the challenges encountered when designing an enterprise data lake and learn industry best practices to resolve issues. When designing an enterprise data lake you often hit a roadblock when you must leave the comfort of the relational world and learn the nuances of handling non-relational...
  • №217
  • 5,14 МБ
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Auerbach Publications, 2018. — 246 p. — ISBN 1498765858, 9781498765855. As digital technologies occupy a more central role in working and everyday human life, individual and social realities are increasingly constructed and communicated through digital objects, which are progressively replacing and representing physical objects. They are even shaping new forms of virtual reality....
  • №218
  • 21,51 МБ
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Wiley, 2013. — 240 p. — ISBN: 9781118739570 Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment....
  • №219
  • 7,77 МБ
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Wiley, 2013. — 240 p. — ISBN 978-1118739570. Social media analytics, web-tracking, and other technologies help companies acquire and handle massive amounts of data to better understand their customers, products, competition, and markets. Armed with the insights from big data, companies can improve customer experience and products, add value, and increase return on investment....
  • №220
  • 20,55 МБ
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Peter Lang LTD International Academic Publishers, 2017. — 258 p. — ISBN 978-3-631-71890-2. Big data are changing the way we work. This book conveys a theoretical understanding of big data and the related interactions on a socio-technological level as well as on the organizational level. Big data challenge the human resource department to take a new role. An organizations new...
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  • 1,12 МБ
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World Scientific Publishing Co., 2016. — 276 p. — (Advances and Opportunities with Big Data and Analytics). — ISBN 9814678414, 9789814678414. In a world with a seemingly infinite amount of content and scores of methods for consuming that content, marketing communication today is about appealing to individuals, person by person. Effectively appealing to customers requires delivery...
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  • 5,80 МБ
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IGI Global, 2018. — 300 p. — ISBN 978-1522576099. In a resolutely practical and data-driven project universe, the digital age changed the way data is collected, stored, analyzed, visualized and protected, transforming business opportunities and strategies. It is important for todays organizations and entrepreneurs to implement a robust data strategy and industrialize a set of...
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  • 2,13 МБ
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Wiley, 2018. — 220 p. — ISBN 1786303264. The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book...
  • №224
  • 9,93 МБ
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Wiley, 2018. — 220 p. — ISBN 1786303264. The main purpose of this book is to investigate, explore and describe approaches and methods to facilitate data understanding through analytics solutions based on its principles, concepts and applications. But analyzing data is also about involving the use of software. For this, and in order to cover some aspect of data analytics, this book...
  • №225
  • 8,57 МБ
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Wiley, 2018. — 220 p. — ISBN 9781119528050. This book treats the roots and the fruits of the movement that marks, affects and transforms any part of business and society. It is about the large amounts of data (the seeds of our time) that we are sowing and creating by simple contact with our connected objects or simple use of advanced IT tools and the value generation that we have...
  • №226
  • 2,93 МБ
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IGI Global, USA, 2018. — 382 p. — (Advances in Data Mining and Database Management). — ISBN 1522528059. Data has increased due to the growing use of web applications and communication devices. It is necessary to develop new techniques of managing data in order to ensure adequate usage. Modern Technologies for Big Data Classification and Clustering is an essential reference source...
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  • 8,02 МБ
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USA: IGI Global, 2018. — 954 p. — ISBN 9781522531425. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
  • №228
  • 46,28 МБ
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IGI Global, 2018. — 1680p. — ISBN 9781522531432. The digital age has presented an exponential growth in the amount of data available to individuals looking to draw conclusions based on given or collected information across industries. Challenges associated with the analysis, security, sharing, storage, and visualization of large and complex data sets continue to plague data...
  • №229
  • 25,72 МБ
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Technics Publications, 2019. — 114 p. — ISBN 10 1634624785, 13 978-1634624787. What is data governance? And what are the principles and techniques you can leverage as a business or IT professional to make data governance successful within your organization? Data Governance will answer these questions and provide you with insights and approaches to improve the "data fitness" of...
  • №230
  • 6,58 МБ
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Packt, 2019. — 242 p. — ISBN 1789340993. Apply modern deep learning techniques to build and train deep neural networks using Gorgonia Key Features: Gain a practical understanding of deep learning using Golang Build complex neural network models using Go libraries and Gorgonia Take your deep learning model from design to deployment with this handy guide Book Description Go is an...
  • №231
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Издательство Oxford University Press, 2014, -320 pp. As we use the Web for social networking, shopping, and news, we leave a personal trail. These days, linger over a Web page selling lamps, and they will turn up at the advertising margins as you move around the Internet, reminding you, tempting you to make that purchase. Search engines such as Google can now look deep into the...
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  • 1,27 МБ
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CRC, 2018. — 413 p. — ISBN 978-1-138-03239-2. The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers....
  • №233
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CRC Press, 2018. — 413 p. — ISBN 978-1-138-03239-2 The proposed book will discuss various aspects of big data Analytics. It will deliberate upon the tools, technology, applications, use cases and research directions in the field. Chapters would be contributed by researchers, scientist and practitioners from various reputed universities and organizations for the benefit of readers....
  • №234
  • 5,48 МБ
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InTech, 2016. — 112 p. — ISBN: 9789535124894 As technology advances, high volumes of valuable data are generated day by day in modern organizations. The management of such huge volumes of data has become a priority in these organizations, requiring new techniques for data management and data analysis in Big Data environments. These environments encompass many different fields...
  • №235
  • 39,61 МБ
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Springer International Publishing AG, 2018. — 567 p. — (Studies in Big Data 26) — ISBN: 3319538160. This handbook brings together a variety of approaches to the uses of big data in multiple fields, primarily science, medicine, and business. This single resource features contributions from researchers around the world from a variety of fields, where they share their findings and...
  • №236
  • 12,05 МБ
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Wiley, 2016. — 194 p. — ISBN 978-1118834626. In the era of big data and automation, the book presents a cutting-edge approach to how enterprises should organize and function. Striking a practical balance between theory and practice, The Intelligent Enterprise in the Era of Big Data presents the enterprise architecture that identifies the power of the emerging technology...
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  • 5,52 МБ
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Apress, 2015. — 220 p. Enterprise Information Architecture for a New Age: Big Data and The Internet of Things, provides guidance in designing an information architecture to accommodate increasingly large amounts of data, massively large amounts of data, not only from traditional sources, but also from novel sources such everyday objects that are fast becoming wired into global...
  • №238
  • 5,26 МБ
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Dey Street Books, 2017. — 307 p. Blending the informed analysis of The Signal and the Noise with the instructive iconoclasm of Think Like a Freak, a fascinating, illuminating, and witty look at what the vast amounts of information now instantly available to us reveals about ourselves and our world—provided we ask the right questions.
  • №239
  • 2,86 МБ
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CRC Press, 2014. — 256 p. — ISBN: 9781482218299, 9781482218282 By implementing a comprehensive data analytics program, utility companies can meet the continually evolving challenges of modern grids that are operationally efficient, while reconciling the demands of greenhouse gas legislation and establishing a meaningful return on investment from smart grid deployments....
  • №240
  • 3,50 МБ
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Kogan Page, 2015. — 224 p. Between tweets, likes, comments, blogs, videos and images, today’s customer is estimated to generate 2.5 quintillion bytes of data per day. How can marketers utilize the ever-increasing amount of data to better understand and interact with their customers? This book offers advice on how to interpret and incorporate data into an organization’s overall...
  • №241
  • 524,66 КБ
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IGI Global, 2018. — 304 p. — ISBN 978-1522570776. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives...
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  • 3,35 МБ
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IGI Global, 2018. — 304 p. — ISBN 978-1522570776. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives...
  • №243
  • 4,10 МБ
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IGI Global, 2018. — 304 p. — ISBN 978-1522570776. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives...
  • №244
  • 2,13 МБ
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IGI Global, 2018. — 304 p. — ISBN 978-1522570776. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives...
  • №245
  • 1,94 МБ
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IGI Global, 2018. — 304 p. — ISBN 978-1522570776. The world is witnessing the growth of a global movement facilitated by technology and social media. Fueled by information, this movement contains enormous potential to create more accountable, efficient, responsive, and effective governments and businesses, as well as spurring economic growth. Big Data Governance and Perspectives...
  • №246
  • 1,97 МБ
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Wiley, 2014. — 252 p. — (Wiley and SAS Business Series). — ISBN: 111872464X, 9781118724644 Innovation, culture, and big data analytics Ignoring the big data hype and diving right into the value proposition, Big Data, Big Innovation takes a long, hard look at making sure that businesses don't stray off course when chasing innovation. It focuses on real-world goals, strategies...
  • №247
  • 2,71 МБ
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Auerbach Publications, 2017. — 378 p. — ISBN B073FNVT3Y. There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data...
  • №248
  • 12,61 МБ
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Auerbach Publications, 2017. — 378 p. — ISBN B073FNVT3Y. There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data...
  • №249
  • 12,78 МБ
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Auerbach Publications, 2017. — 378 p. — ISBN B073FNVT3Y. There are a number of books on computational intelligence (CI), but they tend to cover a broad range of CI paradigms and algorithms rather than provide an in-depth exploration in learning and adaptive mechanisms. This book sets its focus on CI based architectures, modeling, case studies and applications in big data...
  • №250
  • 25,67 МБ
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Springer, 2018. — 263 p. — ISBN 978-3319639154. This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering...
  • №251
  • 8,38 МБ
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Springer, 2018. — 263 p. — ISBN 978-3319639154. This book provides users with cutting edge methods and technologies in the area of big data and visual analytics, as well as an insight to the big data and data analytics research conducted by world-renowned researchers in this field. The authors present comprehensive educational resources on big data and visual analytics covering...
  • №252
  • 5,31 МБ
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Wiley, 2018. — 352 p. — ISBN 1118824857. Harness the power of social media to predict customer behaviorand improve sales Social media is the biggest source of Big Data. Because of this,90% of Fortune 500 companies are investing in Big Data initiativesthat will help them predict consumer behavior to produce bettersales results. Written by Dr. Gabor Szabo, a Senior Data Scientistat...
  • №253
  • 30,00 МБ
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Morgan Kaufmann, 2015. — 238 p. The book walks you through the ins and outs of managing entity information so you can successfully achieve master data management (MDM) in the era of big data. This book explains big data’s impact on MDM and the critical role of entity information management system (EIMS) in successful MDM. Expert authors Dr. John R. Talburt and Dr. Yinle Zhou...
  • №254
  • 6,51 МБ
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Elseiver, 2019. — 365 p. — ISBN 9780128166505. Model Management and Analytics for Large Scale Systems covers the use of models and related artefacts (such as metamodels and model transformations) as central elements for tackling the complexity of building systems and managing data. With their increased use across diverse settings, the complexity, size, multiplicity and variety of...
  • №255
  • 75,99 МБ
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CRC Press, 2016. - 252 p. This book presents recent developments on the theoretical, algorithmic, and application aspects of Big Data in Complex and Social Networks. The book consists of four parts, covering a wide range of topics. The first part of the book focuses on data storage and data processing. It explores how the efficient storage of data can fundamentally support...
  • №256
  • 13,40 МБ
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NY: Wiley, 2015. — 288 p. — ISBN 978-1-118-94371-7. Big Data Revolution is a guide to improving performance, making better decisions, and transforming business through the effective use of Big Data. In this collaborative work by an IBM Vice President of Big Data Products and an Oxford Research Fellow, this book presents inside stories that demonstrate the power and potential of...
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Springer, 2015. — 177 p. — ISBN: 9783319253114, EISBN: 9783319253138 Editors: Marcello Trovati, Richard Hill, Ashiq Anjum, Shao Ying Zhu, Lu Liu This book reviews the theoretical concepts, leading-edge techniques and practical tools involved in the latest multi-disciplinary approaches addressing the challenges of big data. Illuminating perspectives from both academia and...
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  • 4,16 МБ
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Wiley, 2019. — 360 p. — ISBN 978-1-119-37697-2. A timely overview of cutting edge technologies for multimedia retrieval with a special emphasis on scalability The amount of multimedia data available every day is enormous and is growing at an exponential rate, creating a great need for new and more efficient approaches for large scale multimedia search. This book addresses that...
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N.-Y.: Springer, 2015. - 85p. The brief focuses on applying sublinear algorithms to manage critical big data challenges. The text offers an essential introduction to sublinear algorithms, explaining why they are vital to large scale data systems. It also demonstrates how to apply sublinear algorithms to three familiar big data applications: wireless sensor networks, big data...
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O'Reilly, 2011. — 56 p. There’s been a massive amount of innovation in data tools over the last few years, thanks to a few key trends: Learning from the Web Techniques originally developed by website developers coping with scaling issues are increasingly being applied to other domains. CS+?=$$$ Google has proven that research techniques from computer science can be...
  • №261
  • 5,65 МБ
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Springer, 2019. — 105 p. Data-intensive systems are a technological building block supporting Big Data and Data Science applications. This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured...
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  • 4,75 МБ
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Springer, 2019. — 105 p. Data-intensive systems are a technological building block supporting Big Data and Data Science applications. This book familiarizes readers with core concepts that they should be aware of before continuing with independent work and the more advanced technical reference literature that dominates the current landscape. The material in the book is structured...
  • №263
  • 2,78 МБ
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Springer International Publishing, 2016. — 426 p. — ISBN 978-3-319-41279-5. This contributed volume explores the emerging intersection between big data analytics and genomics. Recent sequencing technologies have enabled high-throughput sequencing data generation for genomics resulting in several international projects which have led to massive genomic data accumulation at an...
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Springer, 2015. — 524 p. Nowadays, we are witnessing an exponential growth in data sets, coined as Big Data era. The data being generated in large Internet-based IT systems is becoming a cornerstone for cyber-physical systems, administration, enterprises, businesses, academia and all human activity fields. Indeed, there is data being generated everywhere: in IT systems, biology,...
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  • 21,57 МБ
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Springer, 2016. — 439 p. — ISBN: 3319277618, 9783319277615 This book covers three major parts of Big Data: concepts, theories and applications. Written by world-renowned leaders in Big Data, this book explores the problems, possible solutions and directions for Big Data in research and practice. It also focuses on high level concepts such as definitions of Big Data from different...
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CRC Press, 2017. — 546 p. — ISBN-13 978-1498784863. This book presents state-of-the-art solutions to the theoretical and practical challenges stemming from the leverage of big data and its computational intelligence in supporting smart network operation, management, and optimization. In particular, the technical focus covers the comprehensive understanding of network big data,...
  • №267
  • 14,68 МБ
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Springer, 2018. — 409 p. — (Lecture Notes in Networks and Systems 49). — ISBN 3319977180. This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and...
  • №268
  • 27,46 МБ
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Springer, 2018. — 409 p. — (Lecture Notes in Networks and Systems 49). — ISBN 3319977180. This book addresses topics related to cloud and Big Data technologies, architecture and applications including distributed computing and data centers, cloud infrastructure and security, and end-user services. The majority of the book is devoted to the security aspects of cloud computing and...
  • №269
  • 6,95 МБ
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Springer, 2020. — 298 p. — (Studies in Big Data). — ISBN 3030142973, 9783030142988, 9783030142971. The book is devoted to the analysis of big data in order to extract from these data hidden patterns necessary for making decisions about the rational behavior of complex systems with the different nature that generate this data. To solve these problems, a group of new methods and...
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  • 11,63 МБ
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М.: АСТ, 2019. — 256 с. — (Бизнес-бук). — ISBN 978-5-17-111829-7. Наш телефон знает о нас больше, чем мы думаем. Он умеет собирать и анализировать информацию о том, как мы передвигаемся по городу, какие посты лайкаем и какими приложениями пользуемся. Он сообщит о пробках и поторопит на работу, чтобы мы не опоздали; подберет музыку под наше настроение и составит список персональных...
  • №271
  • 6,98 МБ
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М.: АСТ, 2019. — 256 с. — (Бизнес-бук). — ISBN 978-5-17-111829-7. Наш телефон знает о нас больше, чем мы думаем. Он умеет собирать и анализировать информацию о том, как мы передвигаемся по городу, какие посты лайкаем и какими приложениями пользуемся. Он сообщит о пробках и поторопит на работу, чтобы мы не опоздали; подберет музыку под наше настроение и составит список персональных...
  • №272
  • 13,51 МБ
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Москва: Эксмо, 2018. — 384 с. — ISBN 978-5-04-094117-9. Революция социальных данных делает измеримыми вещи, которые не измерялись или не могли быть измерены прежде. В прошлом мы имели все основания утверждать, что не имеем информации или инструментария для описания и анализа возможностей выбора, который стоит перед обществом. Теперь это не так. Мы можем точно представлять себе и...
  • №273
  • 2,27 МБ
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М.: Эксмо, 2018. — 384 с. Информация как таковая становится самой значительной отраслью экономики, и базы данных знают о каждом конкретном человеке больше, чем известно ему самому. Чем больше информации о каждом из нас попадает в базы данных, тем в меньшей степени мы существуем.
  • №274
  • 2,46 МБ
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СПб.: Страта, 2019. — 148 с. — (Просто). — ISBN 978-5-907127-29-5 Большие данные - ключевой элемент современного информационного пространства. Практически все, что делает отдельный человек, группы людей, человечество в целом, компании из разных сфер бизнеса, правительства, происходит в рамках глобального информационного поля. Наша работа, наш досуг, шопинг, путешествия - всё тем...
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СПб.: Питер, 2019. — 416 с. R является самым популярным в мире языком статистических вычислений: археологи используют его, изучая древние цивилизации, фармацевтические компании выясняют, какие лекарства наиболее безопасны и эффективны, а финансисты задействуют его для оценки рисков и удержания позиций на рынке. "Искусство программирования на R" - это путешествие, в которое вы...
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СПб.: Питер, 2019. — 368 с.: ил. — (Библиотека программиста). — ISBN 978-5-4461-0622-6. Data Science (исследование данных) - одна из самых востребованных специализаций нашего времени. Изучение данных позволяет преобразить любую традиционную или инновационную бизнес-модель. Эта книга основана на вводном курсе по Data Science из Колумбийского университета, и начинающему...
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СПб.: Питер, 2019. — 368 с.: ил. — (Библиотека программиста). — ISBN 978-5-4461-0622-6. Data Science (исследование данных) - одна из самых востребованных специализаций нашего времени. Изучение данных позволяет преобразить любую традиционную или инновационную бизнес-модель. Эта книга основана на вводном курсе по Data Science из Колумбийского университета, и начинающему...
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Москва: АСТ Publishers, 2018. — 140. — (Цифровая экономика и цифровое будущее –). — ISBN 978-5-17-982583-8. Математические алгоритмы с каждым днем все сильнее подчиняют себе нашу жизнь. Более того: по мнению автора книги, профессора математики и финансового аналитика, эти алгоритмы уже превратились в опасное оружие в руках государства и корпораций – и это оружие нацелено в первую...
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Учебное пособие. — СПб.: Университет ИТМО, 2018. — 52 с. В учебном пособии в сжатой форме излагаются основные принципы, подходы и направления технологий и инфраструктуры Big Data. Авторы дают краткий обзор подходов и определений, предоставляют обзор экосистемы Больших данных и раскрывают тему систем. управления Большими данными. В учебном подобии также представлен краткий обзор...
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СПб.: Питер, 2020. — 464 с. — (IT для бизнеса). — ISBN 978-5-4461-1246-3. В недрах популярных социальных сетей - Twitter, Facebook, LinkedIn и Instagram - скрыты богатейшие залежи информации. Из этой книги исследователи, аналитики и разработчики узнают, как извлекать эти уникальные данные, используя код на Python, Jupyter Notebook или контейнеры Docker. Сначала вы познакомитесь с...
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СПб.: Питер, 2019. — 448 с. — (Для профессионалов). — ISBN 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы - получение данных, подготовленных для обработки в облаке,...
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СПб.: Питер, 2019. — 448 с.: ил. — (Серия «Для профессионалов»). ISBN 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы – получение данных, подготовленных для обработки в...
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СПб.: Питер, 2019. — 448 с.: ил. — (Серия «Для профессионалов»). ISBN 978-5-4461-0578-6. Перед вами - первая исходно русскоязычная книга, в которой на реальных примерах рассматриваются секреты обработки больших данных (Big Data) в облаках. Основное внимание уделено решениям Microsoft Azure и AWS. Рассматриваются все этапы работы – получение данных, подготовленных для обработки в...
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СПб.: Питер, 2019. — 208 с.: ил. — (Библиотека программиста). — ISBN 978-5-4461-1040-7. Cегодня Big Data - это большой бизнес. Нашей жизнью управляет информация, и извлечение выгоды из нее становится центральным моментом в работе современных организаций. Не важно кто вы - деловой человек, работающий с аналитикой, начинающий программист или разработчик, - "Теоретический минимум по...
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М.: АСТ, 2016. — 473 с. — (Наука XXI век). — ISBN 978-5-17-088935-8. Насколько велики на самом деле «большие данные» – огромные массивы информации, о которых так много говорят в последнее время? Вот наглядный пример: если выписать в линейку все цифры 0 и 1, из которых состоит один терабайт информации (вполне обычная емкость для современного жесткого диска), то цепочка цифр...
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