| Description |
1 online resource (xxxvi, 636 pages) : illustrations |
| Note |
Includes index. |
| Summary |
"Understand how to use the new features of Microsoft SQL Server 2008 for data mining by using the tools in Data Mining with Microsoft SQL Server 2008, which will show you how to use the SQL Server Data Mining Toolset with Office 2007 to mine and analyze data. Explore each of the major data mining algorithms, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. Learn more about topics like mining OLAP databases, data mining with SQL Server Integration Services 2008, and using Microsoft data mining to solve business analysis problems"--Resource description page |
| Contents |
Ch. 1. Introduction to Data Mining in SQL Server 2008 -- Ch. 2. Applied Data Mining Using Microsoft Excel 2007 -- Ch. 3. Data Mining Concepts and DMX -- Ch. 4. Using SQL Server Data Mining -- Ch. 5. Implementing a Data Mining Process Using Office 2007 -- Ch. 6. Microsoft Naive Bayes -- Ch. 7. Microsoft Decision Trees Algorithm -- Ch. 8. Microsoft Time Series Algorithm -- Ch. 9. Microsoft Clustering -- Ch. 10. Microsoft Sequence Clustering -- Ch. 11. Microsoft Association Rules -- Ch. 12. Microsoft Neural Network and Logistic Regression -- Ch. 13. Mining OLAP Cubes -- Ch. 14. Data Mining with SQL Server Integration Services -- Ch. 15. SQL Server Data Mining Architecture -- Ch. 16. Programming SQL Server Data Mining -- Ch. 17. Extending SQL Server Data Mining -- Ch. 18. Implementing a Web Cross-Selling Application -- Ch. 19. Conclusion and Additional Resources -- Appendix A. Data Sets -- Appendix B. Supported Functions. |
| Subject |
SQL server.
|
|
SQL server. |
|
SQL server |
|
Data mining.
|
|
Data Mining |
|
Exploration de données (Informatique) |
|
Data mining. |
|
Data mining |
| Added Author |
Tang, Zhaohui.
|
|
Crivat, Bogdan.
|
| Other Form: |
Print version: MacLennan, Jamie. Data mining with Microsoft SQL server 2008. Indianapolis, IN : Wiley Pub., ©2009 9780470277744 0470277742 (DLC) 2008035467 (OCoLC)209805362 |
| ISBN |
9780470439296 (electronic bk.) |
|
0470439297 (electronic bk.) |
|
0470277742 |
|
9780470277744 |
|
More Resources