Big Data Analytics : Tools and Technology for Effective Planning.
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Format: | Electronic eBook |
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Language: | English |
Online Access: | Click here to view. |
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Table of Contents:
- chapter 1 Challenges in Big Data / Pothireddy Venkata Lakshmi Narayana Rao, Pothireddy Siva Abhilash, and PS Pavan Kumar
- chapter 2 Challenges in Big Data Analytics / Balamurugan Balusamy, Vegesna Tarun Sai Varma, and Sohil Sri Mani Yeshwanth Grandhi
- chapter 3 Big Data Reference Model / Kevin Berwind
- chapter 4 A Survey of Tools for Big Data Analytics / K. G. Srinivasa
- chapter 5 Understanding the Data Science behind Business Analytics / Mayank Mishra
- chapter 6 Big Data Predictive Modeling and Analytics / Mydhili K. Nair
- chapter 7 Deep Learning for Engineering Big Data Analytics / Kin Gwn Lore
- chapter 8 A Framework for Minimizing Data Leakage from Nonproduction Systems / Jacqueline Cope
- chapter 9 Big Data Acquisition, Preparation, and Analysis Using Apache Software Foundation Tools / Gouri Ginde, Rahul Aedula, Snehanshu Saha, Archana Mathur, Sudeepa Roy Dey, Gambhire Swati Sampatrao, and BS Daya Sagar
- chapter 10 Storing and Analyzing Streaming Data: A Big Data Challenge / Devang Swami
- chapter 11 Big Data Cluster Analysis: A Study of Existing Techniques and Future Directions / Piyush Lakhawat
- chapter 12 Nonlinear Feature Extraction for Big Data Analytics / Adil Omari
- chapter 13 Enhanced Feature Mining and Classifier Models to Predict Customer Churn for an e-Retailer / Karthik B. Subramanya
- chapter 14 Large-Scale Entity Clustering Based on Structural Similarities within Knowledge Graphs / Mahmoud Elbattah, Mohamed Roushdy, Mostafa Aref, and Abdel-Badeeh M. Salem
- chapter 15 Big Data Analytics for Connected Intelligence with the Internet of Things / Mohammad Samadi Gharajeh
- chapter 16 Big Data-Driven Value Chains and Digital Platforms: From Value Co-creation to Monetization / Roberto Moro Visconti
- 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 / Berrie van der Molen.