Demystifying Big Data Analytics for Industries and Smart Societies

Keshav Kaushik, Mamta Dahiya, Ashutosh Dhar Dwivedi

• Publisher: Chapman and Hall/CRC
• Year: 2023
• Print ISBN: 9781032361529
• eBook ISBN: 9781000936933
• Topic: Computer Science
• Subtopic: Computer Science General
• Index: Computer Science

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.

Table of contents

• Cover
• Half Title
• Title Page
• Copyright Page
• Table of Contents
• Preface
• Editor Biographies
• List of Contributors
• Chapter 1 Big Data Collection in Library for Research Purpose: Issues with Librarians in Nigeria
• Chapter 2 Role of EDM and LA Techniques in Analyzing Big Data in Education System
• Chapter 3 Spatial Data Analytics to Study the Pattern of Water Bodies Over Time and Possibilities of Their Revival: A Case Study of Sohna MC Water Bodies, Gurugram, India
• Chapter 4 Machine Learning Algorithms for Big Data Analytics
• Chapter 5 A Modern Approach to Sentiment Analysis in Big Data: Methods, Tools, Applications, and Open Challenges
• Chapter 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
• Chapter 7 Big Data and Healthcare: Analysing the Utility, Challenges and Legal Framework in Health Industry in India
• Chapter 8 Big Data Analytics in Energy Management from Energy Generation to Consumption
• Chapter 9 Artificial Intelligence (AI) at the Edge for Smart Cities Applications
• Chapter 10 Power System Load Research Tool for Energy Supply Industry with Data Analytics and Visualizations
• Chapter 11 Data Analytics Vis-à-Vis Agricultural Development: International Scenario and Indian Potentialities—A Techno and Managerial Context
• Chapter 12 IoT and Big Data Analytics-Based Smart System for Precision Agriculture
• Index