Disruptive Technologies for Big Data and Cloud Applications〈1st ed. 2022〉 : Proceedings of ICBDCC 2021

著者名：Peter, J. Dinesh (EDT)/Fernandes, Steven Lawrence (EDT)/Alavi, Amir H. (EDT)

Springer（2022/08/01発売）

• 言語：ENG
• ISBN：9789811921766
• eISBN：9789811921773

Description

This book provides a written record of the synergy that already exists among the research communities and represents a solid framework in the advancement of big data and cloud computing disciplines from which new interaction will result in the future. This book is a compendium of the International Conference on Big Data and Cloud Computing (ICBDCC 2021). It includes recent advances in big data analytics, cloud computing, the Internet of nano things, cloud security, data analytics in the cloud, smart cities and grids, etc. This book primarily focuses on the application of knowledge that promotes ideas for solving the problems of society through cutting-edge technologies. The articles featured in this book provide novel ideas that contribute to the growth of world-class research and development. The contents of this book are of interest to researchers and professionals alike.

Table of Contents

Part I.- Introduction.- Part II.- Data models and machine learning techniques for big data.- Infrastructure, platform, application, business, social and mobile cloud.- Cloud and data privacy.- Data analytics in Cloud.- Big Data & cloud technologies for business and applications and research.- Index.