Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics - Theories and Applications (Paperback, 1st ed. 2021)

This book addresses theories and empirical procedures for the application of machine learning and data mining to solve problems in cyber dynamics. It explains the fundamentals of cyber dynamics, and presents how these resilient algorithms, strategies, techniques can be used for the development of the cyberspace environment such as: cloud computing services; cyber security; data analytics; and, disruptive technologies like blockchain. The book presents new machine learning and data mining approaches in solving problems in cyber dynamics. Basic concepts, related work reviews, illustrations, empirical results and tables are integrated in each chapter to enable the reader to fully understand the concepts, methodology, and the results presented. The book contains empirical solutions of problems in cyber dynamics ready for industrial applications. The book will be an excellent starting point for postgraduate students and researchers because each chapter is design to have future research directions.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Release date:	April 2022
First published:	2021
Editors:	Haruna Chiroma • Shafi'I M. Abdulhamid • Philippe Fournier-Viger • Nuno M Garcia
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	315
Edition:	1st ed. 2021
ISBN-13:	978-3-03-066290-5
Categories:	Books > Business & Economics > Business & management > Business mathematics & systems > General Books > Professional & Technical > Energy technology & engineering > Electrical engineering > General Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
LSN:	3-03-066290-X
Barcode:	9783030662905

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