Big Data Analytics: Tools and Technology for Effective Planning

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.

Table of Contents

Chapter 1: Challenges in Big Data
Chapter 2: Challenges in Big Data Analytics
Chapter 3: Big Data Reference Model
Chapter 4: A Survey of Tools for Big Data Analytics
Chapter 5: Understanding the Data Science behind Business Analytics
Chapter 6: Big Data Predictive Modeling and Analytics
Chapter 7: Deep Learning for Engineering Big Data Analytics
Chapter 8: A Framework for Minimizing Data Leakage from Nonproduction Systems
Chapter 9: Big Data Acquisition, Preparation, and Analysis Using Apache Software Foundation Tools
Chapter 10: Storing and Analyzing Streaming Data: A Big Data Challenge
Chapter 11: Big Data Cluster Analysis: A Study of Existing Techniques and Future Directions
Chapter 12: Nonlinear Feature Extraction for Big Data Analytics
Chapter 13: Enhanced Feature Mining and Classifier Models to Predict Customer Churn for an e-Retailer
Chapter 14: Large-Scale Entity Clustering Based on Structural Similarities within Knowledge Graphs
Chapter 15: Big Data Analytics for Connected Intelligence with the Internet of Things
Chapter 16: Big Data-Driven Value Chains and Digital Platforms: From Value Co-creation to Monetization
Chapter 17: Distant and Close Reading of Dutch Drug Debates in Historical Newspapers: Possibilities and Challenges of Big Data Analysis in Historical Public Debate Research