CRC Press, 2018. — 413 p. — ISBN 978-1-138-03239-2The 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.Three central questions concerning Big Data are how to classify Big Data, what are the best methods for managing Big Data, and how to accurately analyze Big Data. Although various methods exist to answer these questions, no single or globally accepted methodology is recognized to perform satisfactorily on all data and can be accepted since Big Data Analytics tools have to deal with the large variety and large scale of data sets. For example, some of the use cases of Big Data Analytics tools include real-time intelligence, data discovery, and business reporting. These all present a different challenge.This edited volume, titled Big Data Analytics: Tools and Technology for Effective Planning, deliberates upon these various aspects of Big Data Analytics for effective planning. We start with Big Data challenges and a reference model, and then dwell into data mining, algorithms, and storagePothireddy Venkata Lakshmi Narayana Rao, Pothireddy Siva Abhilash, and PS Pavan Kumar Challenges in Big Data Balamurugan Balusamy, Vegesna Tarun Sai Varma, and Sohil Sri Mani Yeshwanth Grandhi Challenges in Big Data Analytics Kevin Berwind, Andrei Voronov, Matthias Schneider, Marco Bornschlegl, Felix Engel, Michael Kaufmann, and Matthias Hemmje Big Data Reference Model K. G. Srinivasa, Zeeshan Ahmad, Nabeel Siddiqui, and Abhishek Kumar A Survey of Tools for Big Data Analytics Mayank Mishra, Pratik Mishra, and Arun K. Somani Understanding the Data Science behind Business Analytics Mydhili K. Nair, Arjun Rao, and Mipsa Patel Big Data Predictive Modeling and Analytics Kin Gwn Lore, Daniel Stoecklein, Michael Davies, Baskar Ganapathysubramanian, and Soumik Sarkar Deep Learning for Engineering Big Data Analytics Jacqueline Cope, Leandros A. Maglaras, Francois Siewe, Feng Chen, and Helge Janicke A Framework for Minimizing Data Leakage from Nonproduction Systems Gouri Ginde, Rahul Aedula, Snehanshu Saha, Archana Mathur, Sudeepa Roy Dey, Gambhire Swati Sampatrao, and BS Daya Sagar Big Data Acquisition, Preparation, and Analysis Using Apache Software Foundation Tools Devang Swami, Sampa Sahoo, and Bibhudatta Sahoo Storing and Analyzing Streaming Data: A Big Data Challenge Piyush Lakhawat and Arun K. Somani Big Data Cluster Analysis: A Study of Existing Techniques and Future Directions Adil Omari, Juan José Choquehuanca Zevallos, and Roberto Díaz Morales Nonlinear Feature Extraction for Big Data Analytics Karthik B. Subramanya and Arun K. Somani Enhanced Feature Mining and Classifier Models to Predict Customer Churn for an e-Retailer Mahmoud Elbattah, Mohamed Roushdy, Mostafa Aref, and Abdel-Badeeh M. Salem Large-Scale Entity Clustering Based on Structural Similarities within Knowledge Graphs Mohammad Samadi Gharajeh Big Data Analytics for Connected Intelligence with the Internet of Things Roberto Moro Visconti, Alberto Larocca, and Michele Marconi Big Data-Driven Value Chains and Digital Platforms: From Value Co-creation to Monetization Berrie van der Molen and Toine Pieters Distant and Close Reading of Dutch Drug Debates in Historical Newspapers: Possibilities and Challenges of Big Data Analysis in Historical Public Debate Research
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