Data Mining with Microsoft SQL Server 2008 (0470439297) cover image

Data Mining with Microsoft SQL Server 2008

Jamie MacLennan, ZhaoHui Tang, Bogdan Crivat
ISBN: 978-0-470-43929-6
E-book
650 pages
April 2009
Electronic Version: US $40.99 Purchase This E-book

About This Title  |  Errata
Table of Contents
1. Introduction to Data Mining.

2. Applied Data Mining Using Microsoft Excel 2007.

3. DMX and SQL Server Data Mining Concepts.

4. Using SQL Server Data Mining.

5. Implementing a Data Mining Process Using Office 2007.

6. Microsoft Naïve Bayes.

7. Microsoft Decision Trees Algorithm.

8. Microsoft Time Series Algorithm.

9. Microsoft Clustering.

10. Microsoft Sequence Clustering.

11. Microsoft Association Rules.

12. Microsoft Neural Network and Logistic Regression.

13. Mining OLAP Cubes.

14. Data Mining with SQL Server Integration Services.

15. SQL Server Data Mining Architecture.

16. Programming SQL Server Data Mining.

17. Extending SQL Server Data Mining.

18. Implementing a Web Cross-Selling Application.

19. Conclusion and Additional Resources.

Appendix A. Datasets.

Appendix B. Supported Functions.

Index.