2008. 1st Edition. Paperback. 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. Num Pages: 672 pages, Illustrations. BIC Classification: UMT; UNF. Category: (P) Professional & Vocational. Dimension: 234 x 189 x 37. Weight in Grams: 1032. . . . . . Books ship from the US and Ireland.

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Bibliographic Details

Title: Data Mining with Microsoft SQL Server 2008
Publisher: John Wiley and Sons Ltd
Publication Date: 2008
Language: English
ISBN 10: 0470277742
ISBN 13: 9780470277744
Binding: Soft cover
Condition: New

About this title

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.

About the Author

Jamie MacLennan is principal development manager of the SQL Server Analysis Services at Microsoft. He has more than 25 patents or patents pending for his work on SQL Server Data Mining, and has written extensively on the data mining technology in SQL Server. ZhaoHui Tang is a principal group program manager at Microsoft adCenter and inventor of Keyword Services Platform. Bogdan Crivat is a senior software design engineer in SQL Server Analysis Services at Microsoft, working primarily on the data mining platform.

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