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  <titleInfo>
    <title>Handbook of Research on Advanced Data Mining Techniques and Applications for Business Intelligence</title>
  </titleInfo>
  <name type="personal">
    <namePart>Trivedi, Shrawan Kumar</namePart>
    <namePart type="date">1985-</namePart>
    <role>
      <roleTerm type="text">editor.</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">bibliography</genre>
  <originInfo>
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    <dateIssued encoding="marc">2017</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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  <physicalDescription>
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    <extent>xxvi, 438 pages ; 29 cm</extent>
  </physicalDescription>
  <abstract>"This publication is a key resource on the latest advancements in business applications and the use of mining software solutions to achieve optimal decision-making and risk management results. Highlighting innovative studies on data warehousing, business activity monitoring, and text mining"--</abstract>
  <note type="statement of responsibility">Shrawan Kumar Trivedi,  BML Munjal University, India, Shubhamoy Dey, Indian Institute of Management Indore, India, Anil Kumar, BML Munjal University, India Tapan Kumar Panda, Jindal Global Business School, India.</note>
  <note>Includes bibliographical references (pages 397-426) and index.</note>
  <subject authority="lcsh">
    <topic>Business intelligence</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
  </subject>
  <classification authority="lcc">HD38.7 .H3624 2017</classification>
  <classification authority="ddc" edition="23">658.4/7202856312</classification>
  <relatedItem type="series">
    <titleInfo>
      <title>Advances in Business Information Systems and Analytics (ABISA) book series</title>
    </titleInfo>
  </relatedItem>
  <identifier type="isbn">9781522520313 (hardcover)</identifier>
  <identifier type="isbn" invalid="yes"/>
  <identifier type="lccn">2016052414</identifier>
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