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  <titleInfo>
    <title>Big data, data mining and machine learning : value creation for business leaders and practitioners</title>
  </titleInfo>
  <name type="personal">
    <namePart>Dean, Jared</namePart>
    <namePart type="date">1978-</namePart>
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  <genre authority="">Electronic books.</genre>
  <genre authority="">Electronic books.</genre>
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    <dateIssued encoding="marc">2014</dateIssued>
    <issuance>monographic</issuance>
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  <abstract>"An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"--</abstract>
  <tableOfContents>Hardware -- Distributed systems -- Analytical tools -- Predictive modeling -- Common predictive modeling techniques -- Segmentation -- Incremental response modeling -- Time series date mining -- Recommendation systems -- Text analytics -- Case study of a large U.S.-based financial services company -- Case study of a major health care provider -- Case study of a technology manufacturer -- Case study of online brand management -- Case study of mobile application recommendations -- Case study of a high-tech product manufacturer -- Looking to the future.</tableOfContents>
  <note type="statement of responsibility">Jared Dean.</note>
  <note>Includes bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Management</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Big data</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Database management</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Information technology</topic>
    <topic>Management</topic>
  </subject>
  <subject authority="bisacsh">
    <topic>COMPUTERS</topic>
    <topic>Database Management</topic>
    <topic>Data Mining</topic>
  </subject>
  <subject authority="fast">
    <topic>Big data</topic>
  </subject>
  <subject authority="fast">
    <topic>Data mining</topic>
  </subject>
  <subject authority="fast">
    <topic>Database management</topic>
  </subject>
  <subject authority="fast">
    <topic>Information technology</topic>
    <topic>Management</topic>
  </subject>
  <subject authority="fast">
    <topic>Management</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="gnd">
    <topic>Data Mining</topic>
  </subject>
  <subject authority="gnd">
    <topic>Massendaten</topic>
  </subject>
  <subject authority="gnd">
    <topic>Maschinelles Lernen</topic>
  </subject>
  <subject authority="gnd">
    <topic>Managementinformationssystem</topic>
  </subject>
  <classification authority="lcc">HD30.2</classification>
  <classification authority="ddc" edition="23">658/.05631</classification>
  <classification authority="bisacsh">COM021030</classification>
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      <title>High performance data mining and machine learning</title>
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      <namePart>Dean, Jared, 1978-</namePart>
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    <originInfo>
      <publisher>Hoboken, New Jersey : John Wiley and Sons, Inc., [2014]</publisher>
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    <identifier type="local">(DLC)  2014005823</identifier>
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  <identifier type="isbn">9781118920695</identifier>
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  <identifier type="lccn">2014009116</identifier>
  <identifier type="stock number">8F0D6964-40B1-448E-8067-CF7F8E596F20 OverDrive, Inc.</identifier>
  <identifier type="uri">http://onlinelibrary.wiley.com/book/10.1002/9781118691786</identifier>
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