Internet of Things and Big Data Analytics for Smart Generation

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, General Computing
Cover of the book Internet of Things and Big Data Analytics for Smart Generation by , Springer International Publishing
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Author: ISBN: 9783030042035
Publisher: Springer International Publishing Publication: December 30, 2018
Imprint: Springer Language: English
Author:
ISBN: 9783030042035
Publisher: Springer International Publishing
Publication: December 30, 2018
Imprint: Springer
Language: English

This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. 

Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications.

 Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This book discusses emerging technologies in the field of the Internet of Things and big data, an area that will be scaled in next two decades. 

Written by a team of leading experts, it is the only book focusing on the broad areas of both the Internet of things and big data. The thirteen chapters present real-time experimental methods and theoretical explanations, as well as the implementation of these technologies through various applications.

 Offering a blend of theory and hands-on practices, the book enables graduate, postgraduate and research students who are involved in real-time project scaling techniques to understand projects and their execution. It is also useful for senior computer students, researchers and industry workers who are involved in experimenting with the Internet of Things and big data technologies, helping them to solve the real-time problem. Moreover, the chapters covering cutting-edge technologies help multidisciplinary researchers who are bridging the gap of two different outset real-time problems.

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