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  <titleInfo>
    <title>Blockchain, big data and machine learning</title>
    <subTitle>trends and applications</subTitle>
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  <name type="personal">
    <namePart>Kumar, Neeraj</namePart>
    <namePart type="termsOfAddress">(Computer scientist)</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
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  <name type="personal">
    <namePart>Gayathri, N.</namePart>
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  <name type="personal">
    <namePart>Rahman, Md. Arafatur</namePart>
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      <roleTerm type="text">editor.</roleTerm>
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  <name type="personal">
    <namePart>Balusamy, Balamurugan</namePart>
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    <dateIssued encoding="marc">2020</dateIssued>
    <copyrightDate encoding="marc">2021</copyrightDate>
    <edition>First edition.</edition>
    <issuance>monographic</issuance>
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  <language>
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  <physicalDescription>
    <extent>1 online resource (xiii, 345 pages) : illustrations</extent>
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  <abstract>"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"--</abstract>
  <note type="statement of responsibility">edited by Neeraj Kumar, N. Gayathri, Md. Arafatur Rahman, B. Balamurugan.</note>
  <subject authority="lcsh">
    <topic>Blockchains (Databases)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
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  <subject authority="lcsh">
    <topic>Machine learning</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / Machine Theory</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / Computer Engineering</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS / Cryptography</topic>
  </subject>
  <classification authority="lcc">QA76.9.B56 B545 2020eb</classification>
  <classification authority="ddc" edition="23">005.7</classification>
  <identifier type="isbn">9780429352546</identifier>
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