Blockchain, big data and machine learning : trends and applications / edited by Neeraj Kumar, N. Gayathri, Md. Arafatur Rahman and B. Balamurugan.
Contributor(s): Kumar, Neeraj (Computer scientist) [editor.].
Publisher: Boca Raton, FL : CRC Press, ©2020Edition: First edition.Description: 345 p.Content type: text Media type: unmediated Carrier type: volumeISBN: 9780367370688; 9780367371685.Subject(s): Blockchains (Databases) | Big data | Machine learningGenre/Form: Print books.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"--| Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|
| On Shelf | QA76.9.B56 B545 2020 (Browse shelf) | Available | AU00000000018778 |
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| QA76.9.B45 T48 2017 Big data in complex and social networks / | QA76.9.B56 2022 Introducing blockchain applications : understand and develop blockchain applications through distributed systems / | QA76.9.B56 A78 2019 Blockchain for business : discover how blockchain networks are transforming companies, driving growth, and creating new business models / | QA76.9.B56 B545 2020 Blockchain, big data and machine learning : trends and applications / | QA76.9.B56 C46 2020 Inside blockchain, Bitcoin, and cryptocurrencies / | QA76.9.B56 C66 2019 Commercializing blockchain : strategic applications in the real world / | QA76.9.B56 S54 2020 Mastering Corda |
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"--