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  <titleInfo>
    <title>Entity Resolution and Information Quality</title>
  </titleInfo>
  <name type="personal">
    <namePart>Talburt, John R.</namePart>
    <role>
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  <originInfo>
    <place>
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    <place>
      <placeTerm type="text">San Francisco, Calif</placeTerm>
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    <publisher>Morgan Kaufmann/Elsevier</publisher>
    <dateIssued>2011</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>xviii, 235 p. : ill. ; 24 cm.</extent>
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  <abstract>"Customers and products are the heart of any business, and corporations collect more data about them every year. However, just because you have data doesn't mean you can use it effectively. If not properly integrated, data can actually encourage false conclusions that result in bad decisions and lost opportunities. Entity Resolution (ER) is a powerful tool for transforming data into accurate, value-added information. Using entity resolution methods and techniques, you can identify equivalent records from multiple sources corresponding to the same real-world person, place, or thing"--Back cover.</abstract>
  <note type="statement of responsibility">by John R. Talburt.</note>
  <note>Includes bibliographic references (p. 191-201) and index.</note>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Customer relations</topic>
    <topic>Management</topic>
    <topic>Data processing</topic>
  </subject>
  <classification authority="lcc">QA76.9.D343 T348 2011</classification>
  <classification authority="ddc" edition="22">658.8120285574</classification>
  <identifier type="isbn">9780123819727 (pbk.)</identifier>
  <identifier type="isbn">0123819725 (pbk.)</identifier>
  <identifier type="lccn">2012405311</identifier>
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