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Data Mining with Microsoft SQL Server 2008~tqw~_darksiderg

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Name:Data Mining with Microsoft SQL Server 2008~tqw~_darksiderg

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Data Mining with Microsoft SQL Server 2008~tqw~_darksiderg.pdf (Size: 12.09 MB) (Files: 3)

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INFO
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Title................: Data Mining with Microsoft SQL Server 2008
Type.................: Ebook
Reader...............: PDF Reader
Size.................: 12 MB
Torrent Hash.........: 394A3238F42EDD2C5557267D248B6C4C1AD4FB39
Posted by............: ~tqw~

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CONTENTS
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Data Mining with Microsoft SQL Server 2008~tqw~_darksiderg preview 0
Synopsis:
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.

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.

Product Details:
* ISBN: 0470277742
* ISBN-13: 9780470277744
* Format: Paperback, 636pp
* Publisher: Wiley, John & Sons, Incorporated
* Pub. Date: November 2008

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Greetz Fellow UL\'ers
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