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Security Ser.: Machine Learning, Blockchain Technologies and Big Data Analytics for Iots : Methods, Technologies and Applications by Ajith Abraham (2022, Hardcover)
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Machine Learning, Blockchain Technologies and Big Data Analytics for Iots : Methods, Technologies and Applications, Hardcover by Tyagi, Amit Kumar (EDT); Abraham, Ajith (EDT); Hussain, Farookh Khadeer (EDT); Kaklauskas, Arturas (EDT); Kannan, R. Jagadeesh (EDT), ISBN 1839533390, ISBN-13 9781839533396, Brand New, Free shipping in the US This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, blockchain and big data analytics for IoTs. It is aimed at a broad audience of ICTs, Data science, machine learning and cybersecurity researchers.
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About this product
Product Identifiers
PublisherInstitution of Engineering & Technology
ISBN-101839533390
ISBN-139781839533396
eBay Product ID (ePID)3057260571
Product Key Features
Number of Pages679 Pages
Publication NameMachine Learning, Blockchain Technologies and Big Data Analytics for Iots : Methods, Technologies and Applications
LanguageEnglish
SubjectNetworking / General
Publication Year2022
TypeTextbook
AuthorAjith Abraham
Subject AreaComputers
SeriesSecurity Ser.
FormatHardcover
Dimensions
Item Length9.2 in
Item Width6.1 in
Additional Product Features
Intended AudienceCollege Audience
Dewey Edition23
IllustratedYes
Dewey Decimal004.678
SynopsisThis edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, blockchain and big data analytics for IoTs. It is aimed at a broad audience of ICTs, Data science, machine learning and cybersecurity researchers., Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals. This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, Blockchain and Big Data analytics for IoTs. The book is aimed at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs. med at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs.med at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs.med at a broad audience of ICTs, data science, machine learning and cybersecurity researchers interested in the integration of these disruptive technologies and their applications for IoTs., Internet of Things (IoTs) are now being integrated at a large scale in fast-developing applications such as healthcare, transportation, education, finance, insurance and retail. The next generation of automated applications will command machines to do tasks better and more efficiently. Both industry and academic researchers are looking at transforming applications using machine learning and deep learning to build better models and by taking advantage of the decentralized nature of Blockchain. But the advent of these new technologies also brings very high expectations to industries, organisations and users. The decrease of computing costs, the improvement of data integrity in Blockchain, and the verification of transactions using Machine Learning are becoming essential goals. This edited book covers the challenges, opportunities, innovations, new concepts and emerging trends related to the use of machine learning, Blockchain and Big Data analytics for IoTs.
LC Classification NumberTK5105.8857
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