01767    a2200217   4500003000500000005001700005010001700022020003400039040000900073082001300082100002200095245010400117260004300221300002100264505111400285650001701399651001101416700002001427700001901447856008301466Nust20170207154048.0  a  2008035467  a9780470277744 (paper/website)  cNust00a005.75851 aMacLennan, Jamie.10aData mining with Microsoft SQL server 2008 -(E-BOOK)cJamie MacLennan, ZhaoHui Tang, Bogdan Crivat.  aIndianapolis, IN :bWiley Pub.,c2009.  a636 p. ;c24 cm.  aIntroduction (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). 0aData mining.  aE-BOOK1 aCrivat, Bogdan.1 aTang, Zhaohui.413Table of contents onlyuhttp://www.loc.gov/catdir/toc/ecip0825/2008035467.html