Data mining with Microsoft SQL server 2008 -(E-BOOK) Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat.
Publisher: Indianapolis, IN : Wiley Pub., 2009Description: 636 p. ; 24 cmISBN: 9780470277744 (paper/website)Subject(s): Data mining | E-BOOKDDC classification: 005.7585 Online resources: Table of contents only| Item type | Current location | Home library | Collection | Call number | URL | Status | Date due | Barcode | Item holds |
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Military College of Signals (MCS) | Military College of Signals (MCS) | NFIC | 005.7585 MAC (Browse shelf) | Link to resource | Available | MCSEB-2345 |
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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).
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