Blockchain, big data and machine learning : trends and applications / edited by Neeraj Kumar, N. Gayathri, Md. Arafatur Rahman and B. Balamurugan

Contributor(s):

Material type: Text

TextPublisher: Boca Raton, FL : CRC Press, 2020Edition: 1st edDescription: 345 p. : 25 cmContent type:

text

Media type:

computer

Carrier type:

online resource

ISBN:

9780429352546

Subject(s):

Blockchains

Additional physical formats: Print version:: Blockchain, big data and machine learningDDC classification:

006.31 23 KUB

Summary: "Present book covers new paradigms in Blockchain, big data and machine learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well"-- Provided by publisher.

Item type:

Books List(s) this item appears in: Computer Science & Engineering

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Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	KU Central Library	Rack No. : 02 Shelve No. : B-01	Reference Section (Non-Issuable Books)	006.31 KUB 2021 (Browse shelf(Opens below))	C-1 (NI)	Not For Loan		50491
Books	KU Central Library	Rack No. : 01 Annex : 01 Shelve No. : A-04	Reference Section (Non-Issuable Books)	006.31 KUB 2021 (Browse shelf(Opens below))	C-2 (NI)	Not For Loan		52076

Includes bibliographical references and index.

"Present book covers new paradigms in Blockchain, big data and machine learning concepts including applications and case studies. It explains dead fusion in realizing the privacy and security of blockchain based data analytic environment. Recent research of security based on big data, blockchain and machine learning has been explained through actual work by practitioners and researchers, including their technical evaluation and comparison with existing technologies. The theoretical background and experimental case studies related to real-time environment are covered as well"-- Provided by publisher.

Description based on print version record and CIP data provided by publisher.

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