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Full Description
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.
Contents
Chapter 1 Multi-Criteria and Fuzzy-Based Decision Making: Applications in Environment Pollution Control for Sustainable Development Chapter 2 Security and Privacy Requirements for IoMT-Based Smart Healthcare System: Challenges, Solutions, and Future Scope Chapter 3 The Rise of "Big Data" on Cloud Computing Chapter 4 Effect of the Measurement on Big Data Analytics: An Evolutive Perspective with Business Intelligence Chapter 5 Performance Analysis for Provisioning and Energy Efficiency Distributed in Cloud Computing Chapter 6 Using Internet of Things (IoT) for Smart Home Automation and Metering System Chapter 7 Big Data Analysis and Machine Learning for Green Computing: Concepts and Applications Chapter 8 Fundamental Concepts and Applications of Blockchain Technology Chapter 9 Mental Disorder Detection Using Machine Learning Chapter 10 Blockchain Technology for Industry 4.0 Applications: Issues, Challenges and Future Research Directions
