Advanced Studying on Microsoft SQL Server 2008 Data Mining

Abstract:

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Data mining application used by an enterprise is a powerful tool to help and guide your decision making to keep your products and services competitive. This paper introduces the relate contents for data mining and gives out an overview of typical data mining problems and the tools and models that are available in SQL Server 2008 for solving these problems.

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Periodical:

Edited by:

Qi Luo

Pages:

748-752

DOI:

10.4028/www.scientific.net/AMM.20-23.748

Citation:

D. Y. Wang "Advanced Studying on Microsoft SQL Server 2008 Data Mining", Applied Mechanics and Materials, Vols. 20-23, pp. 748-752, 2010

Online since:

January 2010

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Price:

$35.00

[1] Michael Otey and Denielle Oteyy, Microsoft SQL Server 2005 Developer's Guide, 1st edition. Columbus: McGraw-Hill Osborne Media, October 31, 2005, pp.275-315.

[2] ZhaoHui Tang and Jamie MacLennan, Data Mining with SQL Server 2005. Singapore: Wiley, October 7, 2005, pp.1-480.

[3] Deli Zhu, SQL Server 2005 Data Mining and Business Intelligence Solution. Peking: china publishing house of electrnics industry, October, 2007, pp.1-383.

[4] William McKnight, Choosing Microsoft SQL Server 2008 for Data Warehousing, (2007).

[5] Graeme Malcolm, Business Intelligence in SQL Server 2008, (2007).

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