Big Data Analysis for Green Computing Concepts and Applications Green Engineering and Technology Series
Coordonnateurs : Sharma Rohit, Sharma Dilip Kumar, Bhatt Dhowmya, Pham Binh Thai
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 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
Rohit Sharma is currently an Assistant Professor in the Department of Electronics and Communication Engineering, SRM Institute of Science and Technology, Delhi NCR Campus Ghaziabad, India. He is an active member of ISTE, IEEE, ICS, IAENG, and IACSIT. He is an editorial board member and reviewer of more than 12 international journals and conferences, including the topmost journal IEEE Access and IEEE Internet of Things Journal. He serves as a Book Editor for 7 different titles to be published by CRC Press, Taylor & Francis Group, USA and Apple Academic Press, CRC Press, Taylor & Francis Group, USA, Springer, etc. He has received the Young Researcher Award in "2nd Global Outreach Research and Education Summit & Awards 2019" hosted by Global Outreach Research & Education Association (GOREA). He is serving as Guest Editor in SCI journal of Elsevier, CEE and Springer WPC. He has actively been an organizing end of various reputed International conferences. He is serving as an Editor and Organizing Chair to 3rd Springer International Conference on Microelectronics and Telecommunication (2019), and have served as the Editor and Organizing Chair to 2nd IEEE International Conference on Microelectronics and Telecommunication (2018), Editor and Organizing Chair to IEEE International Conference on Microelectronics and Telecommunication (ICMETE-2016) held in India, Technical Committee member in "CSMA2017, Wuhan, Hubei, China", "EEWC 2017, Tianjin, China" IWMSE2017 "Guangzhou, Guangdong, China", "ICG2016, Guangzhou, Guangdong, China" "ICCEIS2016 Dalian Liaoning Province, China".
Dilip Kumar Sharma is B.E.(CSE), M.Tech. (CSE) and Ph.D in Computer Engineering. He is Senior Member of (IEEE, USA, ACM, USA, CSI India) and Fellow of (IETE and IE(India)). He has delivered/chaired more than 75 invited talks/guest lectures and chaired the technical sessions at various institutes/conferences. He has attended 32 short term courses/workshops/seminars organized by var
Date de parution : 10-2021
15.6x23.4 cm
Thèmes de Big Data Analysis for Green Computing :
Mots-clés :
Cloud Computing; Smart Cities; IoT Device; Business Intelligence; Big Data Analytics; Cloud; Blockchain Technology; Data Analytics; Big Data; Machine Learning; Data Set; Automated Systems; Smart Contracts; Fuzzy AHP; Green Computing; Edge Computing; Fog Computing; Ml; AMQP; Fuzzy AHP Method; MCDM Technique; Empirical Likelihood; Batch Data Processing; Air Quality Index; Fuzzy Sets; Cloud Service Providers; Bloom Filter; Real Time Data Processing; Conventional AHP; Ml Algorithm