Demystifying Big Data Analytics for Industries and Smart Societies

Keshav Kaushik is an experienced educator with over eight years of teaching and research experience in Cybersecurity, Digital Forensics, and the Internet of Things. He is working as an Assistant Professor (Senior Scale) in the systemic cluster under the School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. He has published 80+ research papers in International Journals and has presented at reputed International Conferences. He is a Certified Ethical Hacker (CEH) v11, CQI and IRCA Certified ISO/IEC 27001:2013 Lead Auditor, Quick Heal Academy Certified Cyber Security Professional (QCSP), and IBM Cybersecurity Analyst. He acted as a keynote speaker and delivered 50+ professional talks on various national and international platforms. He has edited over ten books with reputed international publishers like Springer, Taylor and Francis, IGI Global, Bentham Science, etc. He has chaired various special sessions at international conferences and also served as a reviewer in peer-reviewed journals and conferences.

This book aims to provide readers with a comprehensive guide to the fundamentals of big data analytics and its applications in various industries and smart societies. It has an in-depth coverage of big data analytics, machine learning algorithms, spatial data analytics, and IoT-based smart systems.

1. Big Data Collection in Library for Research Purpose: Issues with Librarians in Nigeria. 2. Role of EDM and LA Techniques in Analyzing Big Data in Education System. 3. Spatial Data Analytics to Study the Pattern of Water Bodies over the Time & Possibilities of their Revival: A Case Study of Sohna MC Water Bodies, Gurugram, India. 4. Machine learning algorithms for Big Data Analytics. 5. A Modern Approach to Sentiment Analysis in Big Data: Methods, Tools, Applications, and Open Challenges. 6. Big data Analytics, Internet of Things (IoTs) and Bio-Robotics: A budding-trio for Prospective Prevention of Plant related Emerging Disease Distribution, Monitoring and Management/Control. 7. Big Data and Health Care: Analyzing the Utility, Challenges and Legal Framework in Health Industry in India. 8. Big Data Analytics in Energy Management: From Energy Generation to Consumption. 9. Artificial Intelligence (AI) at the Edge for Smart Cities Applications. 10. Power System Load Research tool for Energy Supply Industry with Data Analytics and Visualizations. 11. Data Analytics Vis-à-Vis Agricultural Development: International Scenario & Indian Potentialities-A Techno & Managerial Context. 12. IoT and Data Analytics based smart system for precision agriculture.