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  <titleInfo>
    <title>Data mining</title>
    <subTitle>practical machine learning tools and techniques</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Ian H. Witten Eibe Frank Mark A. Hall Chirstopher J. Pal</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <originInfo>
    <place>
      <placeTerm type="text">Cambridge</placeTerm>
    </place>
    <publisher>Elsevier</publisher>
    <dateIssued>2017</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <physicalDescription>
    <extent>xxxii, 621 p.  : ill.  ; 23 cm.</extent>
  </physicalDescription>
  <note>Includes appendices, bibliographical references and index.</note>
  <subject authority="lcsh">
    <topic>Data mining</topic>
    <topic>Rudimentary rules</topic>
    <topic>Screening images</topic>
    <topic>Linear regression</topic>
    <topic>Numeric prediction</topic>
    <topic>Computer science</topic>
    <topic>RISE</topic>
  </subject>
  <classification authority="ddc">006.312 DAT</classification>
  <identifier type="isbn">9780128042915 (pbk)</identifier>
  <recordInfo/>
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