ABSTRACT

This book focuses on big data in business intelligence, data management, machine learning, cloud computing, and smart cities. It also provides an interdisciplinary platform to present and discuss recent innovations, trends, and concerns in the fields of big data and analytics.

Big Data Analysis for Green Computing: Concepts and Applications presents the latest technologies and covers the major challenges, issues, and advances of big data and data analytics in green computing. It explores basic as well as high-level concepts. It also includes the use of machine learning using big data and discusses advanced system implementation for smart cities.

The book is intended for business and management educators, management researchers, doctoral scholars, university professors, policymakers, and higher academic research organizations.

chapter 1|15 pages

Multi-Criteria and Fuzzy-Based Decision Making

Applications in Environment Pollution Control for Sustainable Development

chapter 4|19 pages

Effect of the Measurement on Big Data Analytics

An Evolutive Perspective with Business Intelligence

chapter 7|21 pages

Big Data Analysis and Machine Learning for Green Computing

Concepts and Applications

chapter 10|25 pages

Blockchain Technology for Industry 4.0 Applications

Issues, Challenges and Future Research Directions