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Data Mining with Microsoft SQL Server 2008 by Jamie MacLennan at Abbey's Bookshop,
Data Mining with Microsoft SQL Server 2008
— —
Jamie MacLennan ZhaoHui Tang

Data Mining with Microsoft SQL Server 2008

Jamie MacLennan,  ZhaoHui Tang,  Bogdan Crivat

$82.95

Paperback

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English
John Wiley & Sons Inc
31 October 2008
Database programming; Data mining
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.
By:   , ,
Imprint:   John Wiley & Sons Inc
Country of Publication:   United States
Dimensions:   Height: 229mm,  Width: 188mm,  Spine: 41mm
Weight:   1.021kg
ISBN:   9780470277744
ISBN 10:   0470277742
Pages:   672
Publication Date:  
Audience:   Professional and scholarly ,  Undergraduate
Format:   Paperback
Publisher's Status:   Active

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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