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  <titleInfo>
    <title>Data mining with Microsoft SQL server 2008 -(E-BOOK)</title>
  </titleInfo>
  <name type="personal">
    <namePart>MacLennan, Jamie.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Crivat, Bogdan.</namePart>
  </name>
  <name type="personal">
    <namePart>Tang, Zhaohui.</namePart>
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  <originInfo>
    <place>
      <placeTerm type="text">Indianapolis, IN</placeTerm>
    </place>
    <publisher>Wiley Pub.</publisher>
    <dateIssued>2009</dateIssued>
    <issuance/>
  </originInfo>
  <physicalDescription>
    <extent>636 p. ; 24 cm.</extent>
  </physicalDescription>
  <tableOfContents>Introduction (Page-xxxi),Chapter 1 Introduction to Data Mining in SQL Server 2008 (Page-1),Chapter 2 Applied Data Mining Using Microsoft Excel 2007 (Page-15),Chapter 3 Data Mining Concepts and DMX (Page-83),Chapter 4 Using SQL Server Data Mining (Page-127), Chapter 5 Implementing a Data Mining Process Using Office 2007 (Page-187),Chapter 6 Microsoft Na¨ıve Bayes (Page-215),Chapter 7 Microsoft Decision Trees Algorithm (Page-235),Chapter 8 Microsoft Time Series Algorithm (Page-263),Chapter 9 Microsoft Clustering (Page-291),Chapter 10 Microsoft Sequence Clustering (Page-319),Chapter 11 Microsoft Association Rules (Page-343),Chapter 12 Microsoft Neural Network and Logistic Regression (Page-371),Chapter 13 Mining OLAP Cubes (Page-399),Chapter 14 Data Mining with SQL Server Integration Services (Page-439),Chapter 15 SQL Server Data Mining Architecture (Page-475),Chapter 16 Programming SQL Server Data Mining (Page-497),Chapter 17 Extending SQL Server Data Mining (Page-541),Chapter 18 Implementing a Web Cross-Selling Application0 (Page-563),Chapter 19 Conclusion and Additional Resources (Page-581).</tableOfContents>
  <note type="statement of responsibility">Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat.</note>
  <subject authority="lcsh">
    <topic>Data mining</topic>
  </subject>
  <subject>
    <geographic>E-BOOK</geographic>
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  <classification authority="ddc">005.7585</classification>
  <identifier type="isbn">9780470277744 (paper/website)</identifier>
  <identifier type="lccn">2008035467</identifier>
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