Data Mining with Microsoft SQL Server 2008

Author:
Jamie MacLennan; Zhaohui Tang
Format:
Softcover

Now:R481.95
eBucks:eB4820

United Kingdom

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Data Mining with Microsoft SQL Server 2008

Short description

Shows database analysts, data miners, and developers how to use various features of Microsoft SQL Server 2008 for data mining. This book offers an overview of the SQL Server Data Mining Toolset, showing how these tools can be integrated with Office 2007 to provide a platform for mining and analyzing data.

Long description

Data Mining with SQL Server 2008 shows database analysts, data miners, and developers how to use all of the new features of Microsoft SQL Server 2008 for data mining. The book begins with a quick overview of the SQL Server Data Mining Toolset, showing how these tools can be integrated with Office 2007 to provide a complete, user-friendly platform for mining and analyzing data. The authors next show how to use each of the major data mining algorithms supported by this Microsoft tool, including naive bayes, decision trees, time series, clustering, association rules, and neural networks. The authors also cover mining OLAP databases, as well as data mining with SQL Server Integration Services 2008. The last set of chapters provide in-depth examples of using Microsoft data mining to solve business analysis problems., including building a cross-sales Web application. The authors also cover significant new features for text mining. The companion Website will include the complete sample code and data sets provided in the book.

Product details

Publisher:
John Wiley & Sons
ISBN:
9780470277744
Publication date:
August 2008
Length:
236mm
Width:
190mm
Thickness:
33mm
Weight:
948g
Pages:
636
Illustrations:
Illustrated
Illustrated:
Illustrated

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 Naive 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.

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Data Mining with Microsoft SQL Server 2008

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