000 01792 a2200229 4500
003 Nust
005 20170207154048.0
010 _a 2008035467
020 _a9780470277744 (paper/website)
040 _cNust
082 0 0 _a005.7585
100 1 _aMacLennan, Jamie.
245 1 0 _aData mining with Microsoft SQL server 2008 -(E-BOOK)
_cJamie MacLennan, ZhaoHui Tang, Bogdan Crivat.
260 _aIndianapolis, IN :
_bWiley Pub.,
_c2009.
300 _a636 p. ;
_c24 cm.
505 _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).
650 0 _aData mining.
651 _aE-BOOK
700 1 _aCrivat, Bogdan.
700 1 _aTang, Zhaohui.
856 4 1 _3Table of contents only
_uhttp://www.loc.gov/catdir/toc/ecip0825/2008035467.html
942 _2ddc
_cBK
999 _c192965
_d192965