Blockchain, big data and machine learning : trends and applications /

By:

Kumar Neeraj

Contributor(s):

Kumar, Neeraj

Material type: Text

TextEdition: First editionDescription: pages cmISBN:

9780367370688
9781032972459

Subject(s):

DDC classification:

005.83 KUM/B

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"--

List(s) this item appears in: New Arrivals

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Holdings
Item type	Current library	Call number	Status	Barcode
Reference	IIIT Kottayam Central Library Reference	005.83 KUM/B (Browse shelf(Opens below))	Not For Loan	3030
Books	IIIT Kottayam Central Library General Stacks	005.83 KUM/B (Browse shelf(Opens below))	Available	3031
Books	IIIT Kottayam Central Library General Stacks	005.83 KUM/B (Browse shelf(Opens below))	Available	3032
Books	IIIT Kottayam Central Library General Stacks	005.83 KUM/B (Browse shelf(Opens below))	Available	3033
Books	IIIT Kottayam Central Library General Stacks	005.83 KUM/B (Browse shelf(Opens below))	Available	3034

Total holds: 0

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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"--

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