Big data analysis for green computing : concepts and applications /
Big data analysis for green computing : concepts and applications /
edited by Rohit Sharma, Dilip Kumar Sharma, Dhowmya Bhatt and Binh Thai Pham.
- First edition.
- 1 online resource.
- Green engineering and technology : concepts and applications .
"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, as well as higher academic research organizations"--
9781003032328 100303232X 9781000481785 1000481786 9781000481778 1000481778
Big data.
COMPUTERS / Machine Theory
TECHNOLOGY / Engineering / Industrial
TECHNOLOGY / Environmental Engineering & Technology
QA76.9.B45
005.7
"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, as well as higher academic research organizations"--
9781003032328 100303232X 9781000481785 1000481786 9781000481778 1000481778
Big data.
COMPUTERS / Machine Theory
TECHNOLOGY / Engineering / Industrial
TECHNOLOGY / Environmental Engineering & Technology
QA76.9.B45
005.7