Bücher online kaufen
Data Mining with Microsoft SQL Server 2008
-0 %
 |
| Der Artikel wird am Ende des Bestellprozesses zum Download zur Verfügung gestellt. |
Artikel-Nr:
9781118080009
Veröffentl:
2011
Einband:
E-Book
Seiten:
672
Autor:
Jamie MacLennan
eBook Typ:
EPUB
eBook Format:
Reflowable E-Book
Kopierschutz:
Adobe DRM [Hard-DRM]
Sprache:
Englisch
Beschreibung:
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.
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.
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.