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Full Description
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. What sets this book apart is its in-depth coverage of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems for precision agriculture. The book also delves into the use of big data analytics in healthcare, energy management, and agricultural development, among others. The authors have used clear and concise language, along with relevant examples and case studies, to help readers understand the complex concepts involved in big data analytics.
Key Features:
Comprehensive coverage of the fundamentals of big data analytics
In-depth discussion of different aspects of big data analytics, including machine learning algorithms, spatial data analytics, and IoT-based smart systems
Practical examples and case studies to help readers understand complex concepts
Coverage of the use of big data analytics in various industries, including healthcare, energy management, and agriculture
Discussion of challenges and legal frameworks involved in big data analytics
Clear and concise language that is easy to understand
This book is a valuable resource for business owners, data analysts, students, and anyone interested in the field of big data analytics. It provides readers with the tools they need to leverage the power of big data and make informed decisions that can help their organizations succeed. Whether you are new to the field or an experienced practitioner, "Demystifying Big Data Analytics for Industries and Smart Societies" is must-read.
Contents
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.
