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

Détails du produit

• Auteurs: Claude Seidman
• Edition: Microsoft Press
• Langues: Anglais
• Format d'édition: Livre Broché
• Sortie: 31.05.2001
• EAN: 9780735612716
• ISBN: 978-0-7356-1271-6
• Dimensions: 195 mm x 240 mm x 35 mm
• Thèmes: IT-Professional; Technical Reference; IT Professional and Developer; Technical Reference; IT Professional and Developer
• Catégories: Sciences naturelles, médecine, informatique, technique > Informatique, ordinateurs > Applications, programmes; Server (EDV), SQL (Structured Query Language), MySQL