Data Mining With Microsoft Sql Servertm 2000 Technical Reference

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.