Data Mining with SQL Server 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 analytica

Produktdetails

• Autoren: Claude Seidman
• Verlag: Microsoft Press
• Sprache: Englisch
• Produktform: Taschenbuch
• Erschienen: 31.05.2001
• EAN: 9780735612716
• ISBN: 978-0-7356-1271-6
• Abmessung: 195 mm x 240 mm x 35 mm
• Serien: IT-Professional; Technical Reference; IT Professional and Developer; Technical Reference; IT Professional and Developer
• Themen: Naturwissenschaften, Medizin, Informatik, Technik > Informatik, EDV > Anwendungs-Software; Server (EDV), SQL (Structured Query Language), MySQL