Data Mining with Microsoft[r] SQL Server[tm] 2000 Technical Reference
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Data Mining with Microsoft[r] SQL Server[tm] 2000 Technical Reference
ISBN: B007EMTPI0
EAN: N/A
EAN: N/A
Year: 2001
Pages: 16
Pages: 16
- Cover
- PART I INTRODUCING DATA MINING
- 1 Understanding Data Mining
- 2 Microsoft SQL Server Analysis Services Architecture
- 3 Data Storage Models
- 4 Approaches to Data Mining
- 5 Microsoft Decision Trees
- PART II DATA-MINING METHODS
- 6 Creating Decision Trees with OLAP
- 7 Microsoft Clustering
- 8 Using Microsoft Data Transformation Services (DTS)
- PART III CREATING DATAMINING APPLICATIONS WITH CODE
- 9 Using Decision Support Objects (DSO)
- 10 Understanding Data-Mining Structures
- 11 Data Mining Using PivotTable Service
- 12 Data-Mining Queries
- Appendix
Data Mining with Microsoft[r] SQL Server[tm] 2000 Technical Reference
ISBN: B007EMTPI0
EAN: N/A
EAN: N/A
Year: 2001
Pages: 16
Pages: 16
- The Second Wave ERP Market: An Australian Viewpoint
- Enterprise Application Integration: New Solutions for a Solved Problem or a Challenging Research Field?
- The Effects of an Enterprise Resource Planning System (ERP) Implementation on Job Characteristics – A Study using the Hackman and Oldham Job Characteristics Model
- Context Management of ERP Processes in Virtual Communities
- Development of Interactive Web Sites to Enhance Police/Community Relations