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Titlebook: Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics; Theories and Applica Haruna Chiroma,Shafi’i M. Abdulhamid,Nuno M. Ga

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書目名稱Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics
副標(biāo)題Theories and Applica
編輯Haruna Chiroma,Shafi’i M. Abdulhamid,Nuno M. Garci
視頻videohttp://file.papertrans.cn/621/620447/620447.mp4
概述Presents applications of machine learning and deep mining in blockchain, deepfake videos and cryptocurrency.Utilises numerous illustrations and tables to help fully explain concepts addressed.Covers e
圖書封面Titlebook: Machine Learning and Data Mining for Emerging Trend in Cyber Dynamics; Theories and Applica Haruna Chiroma,Shafi’i M. Abdulhamid,Nuno M. Ga
描述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. .
出版日期Book 2021
關(guān)鍵詞Deep learning; Machine learning; Cybersecurity; Artificial Neural Networks; Internet of Things; Informati
版次1
doihttps://doi.org/10.1007/978-3-030-66288-2
isbn_softcover978-3-030-66290-5
isbn_ebook978-3-030-66288-2
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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