Somani Arun, Deka Ganesh Chandra (eds.) Big Data Analytics: Tools and Technology for Effective Planning

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.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