MacLennan, Jamie. <br/><br/>
Data mining with Microsoft SQL server 2008 -(E-BOOK) 
Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat. 
 - Indianapolis, IN :  Wiley Pub.,  2009. 
 - 636 p. ;  24 cm. 
<br/><br/>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). 
<br/><br/><label>ISBN: </label>9780470277744 (paper/website) 
<br/><br/><label>LCCN: </label>2008035467 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Data mining.
<br/><br/><label>Subjects--Geographic Terms: </label><br/>E-BOOK
<br/><br/><label>Dewey Class. No.: </label>005.7585