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  <titleInfo>
    <title>Computational business analytics</title>
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  <name type="personal">
    <namePart>Das, Subrata Kumar</namePart>
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    <place>
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    <publisher>CRC Press, Taylor &amp; Francis Group</publisher>
    <dateIssued>c2014</dateIssued>
    <dateIssued encoding="marc">2014</dateIssued>
    <copyrightDate encoding="marc">2014</copyrightDate>
    <issuance>monographic</issuance>
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  <language>
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  <physicalDescription>
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    <extent>xxiv, 490 pages : illustrations ; 24 cm.</extent>
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  <tableOfContents>Chapter 1. Analytics background and architectures -- chapter 2. Mathematical and statistical preliminaries -- chapter 3. Statistics for descriptive analytics -- chapter 4. Bayesian probability and inference -- chapter 5. Inferential statistics and predictive analytics -- chapter 6. Artificial intelligence for symbolic analytics -- chapter 7. Probabilistic graphical modeling -- chapter 8. Decision support and prescriptive analytics -- chapter 9. Time series modeling and forecasting -- chapter 10. Monte Carlo simulation -- chapter 11. Cluster analysis and segmentation -- chapter 12. Machine learning for analytics models -- chapter 13. Unstructured data and text analytics -- chapter 14. Semantic web -- chapter 15. Analytics tools -- chapter 16. Analytics case studies.</tableOfContents>
  <note type="statement of responsibility">Subrata Das Machine Analytics, Inc. Belmont, Massachusetts, USA.</note>
  <note>Includes bibliographical references (pages 463-477) and index.</note>
  <note>CSE</note>
  <subject authority="lcsh">
    <topic>Business intelligence</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Strategic planning</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business</topic>
    <topic>Computer programs</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Business requirements analysis</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Computer science</topic>
  </subject>
  <classification authority="lcc">HD38.7 .D37 2014</classification>
  <classification authority="ddc">658.472</classification>
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      <title>Chapman &amp; Hall/CRC data mining and knowledge discovery series</title>
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  <identifier type="isbn">1439890706</identifier>
  <identifier type="isbn">9781439890707</identifier>
  <identifier type="lccn">2013478678</identifier>
  <location>
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