New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling - Hardcover

Hardcover

ISBN 10: 177188875X ISBN 13: 9781771888752

Publisher: Apple Academic Press, 2020

Synopsis

This comprehensive and timely book, New Age Analytics: Transforming the Internet through Machine Learning, IoT, and Trust Modeling, explores the importance of tools and techniques used in machine learning, big data mining, and more. The book explains how advancements in the world of the web have been achieved and how the experiences of users can be analyzed. It looks at data gathering by the various electronic means and explores techniques for analysis and management, how to manage voluminous data, user responses, and more.

This volume provides an abundance of valuable information for professionals and researchers working in the field of business analytics, big data, social network data, computer science, analytical engineering, and forensic analysis. Moreover, the book provides insights and support from both practitioners and academia in order to highlight the most debated aspects in the field.

About this title

About the Author

Gulshan Shrivastava

is working as researcher in the Department of Computer Science & Engineering at the National Institute of Technology Patna (Institute of National Importance), India.

Sheng-Lung Peng

is a Professor of the Department of Computer Science and Information Engineering at National Dong Hwa University (NDHU), Hualien, Taiwan.

Himani Bansal

has served as Assistant Professor at various reputable engineering colleges and universities. Currently, she is working with the Jaypee Institute of Information Technology, Noida, India.

Kavita Sharma

is Associate Professor at the Department of Computer Science and Engineering, G.L. Bajaj Institute of Technology & Management, Greater Noida, India.

Meenakshi Sharma

is Professor at the School of Computer Science and Engineering, Galgotias University, India.

Edition details

• Publisher: Apple Academic Press
• Publication date: 2020
• Language: English
• ISBN 10: 177188875X
• ISBN 13: 9781771888752
• Binding: Hardcover
• Edition number: 1
• Number of pages: 344
• Editor: Shrivastava Gulshan, Peng Sheng-Lung, Bansal Himani, Sharma Kavita, Sharma Meenakshi