Image from Google Jackets

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

Contributor(s): Material type: TextPublisher: Boca Raton, FL : CRC Press, 2020Copyright date: ©2021Edition: First editionDescription: 1 online resource (xiii, 345 pages) : illustrationsContent type:
  • text
Media type:
  • computer
Carrier type:
  • online resource
ISBN:
  • 9780429352546
  • 0429352549
  • 9781000163490
  • 1000163490
  • 9781000163513
  • 1000163512
  • 9781000163506
  • 1000163504
Subject(s): DDC classification:
  • 005.7 23
LOC classification:
  • QA76.9.B56 B545 2020eb
Online resources: 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.
Tags from this library: No tags from this library for this title. Log in to add tags.
No physical items for this record

"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.

OCLC-licensed vendor bibliographic record.

There are no comments on this title.

to post a comment.
Share


Meru University of Science and Technology | P.O. Box 972-60200 Meru. | Tel 020 2092048 Fax 0208027449 | Email: library@must.ac.ke