Booknews
This guide to uncovering hidden information and meaningful patterns in large databases uses two sample databases to illustrate how to build a data-mining model. The author explains the SQL server analysis services architecture, data storage methods, how to create decision trees with online analytical processing (OLAP), the clustering method, data transformation services, decision support objects, the schema rowsets, data mining using PivotTable services, and prediction queries. An appendix discusses regression analysis. Annotation c. Book News, Inc., Portland, OR (booknews.com)
Data Mining With Microsoft Sql Servertm 2000 Technical Reference
by Claude Seidman
This technical reference is the ideal, in-depth guide for any database developer, administrator, or IT professional who needs comprehensive information about these powerful new data-mining services. It fully examines the data-warehousing architecture in SQL Server 2000 to show how to take full advantage of the data-mining services in this RDBMS. (Computer Books -
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This technical reference is the ideal, in-depth guide for any database developer, administrator, or IT professional who needs comprehensive information about these powerful new data-mining services. It fully examines the data-warehousing architecture in SQL Server 2000 to show how to take full advantage of the data-mining services in this RDBMS. (Computer Books - Database Management)
Editorial Reviews
Product Details
- ISBN-13:
- 9780735612716
- Publisher:
- Microsoft Press
- Publication date:
- 05/09/2001
- Series:
- Developer Reference Series
- Pages:
- 384
- Product dimensions:
- 7.38(w) x 9.25(h) x 0.84(d)
- Age Range:
- 13 Years
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