Printer Friendly

Implementing Data Mining Algorithms in Microsoft SQL Server.

1845640373

Implementing data mining algorithms in Microsoft SQL Server.

Curotto, C.L. and N.F.F. Ebecken.

WIT Press

2005

142 pages

$142.00

Hardcover

Advances in mangement information; v.3

QA76.9

Brazilian software engineers Curotto (Federal U. of Parana) and Ebecken (Federal U. of Rio de Janeiro) explain how to conduct data mining activities in the same platform used for database management. They write for data mining researchers and information technology workers who are already familiar with MSSQL Analysis Services and with one of Microsoft's visual programming languages. The text can also be used in graduate information technology courses. The US office of WIT Press is Computational Mechanics.

([c]20062005 Book News, Inc., Portland, OR)
COPYRIGHT 2006 Book News, Inc.
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2006 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Publication:SciTech Book News
Article Type:Book Review
Date:Mar 1, 2006
Words:117
Previous Article:Advances in City Transport: Case Studies.
Next Article:Transport Phenomena in Fuel Cells.
Topics:


Related Articles
Microsoft to Develop OLE DB Extensions for Data Mining.
MICROSOFT ADDS SQL SERVER 2005 SUPPORT FOR AMD OPTERON.
AMD64 PROVIDES SMOOTH MIGRATION PATH.
Programming MapPoint in .NET.
Administrator's Guide to SQL Server 2005.
SILICO-MAGNETIC INTELLIGENCE UNVEILS CD-ROM TRAINING.
Practical business intelligence with SQL Server 2005.
Inside SQL server 2005 tools. (CD-ROM included).
MCTS self-paced training kit (exam 70-445); Microsoft SQL server 2005--implementation and maintenance. (CD-ROM included).

Terms of use | Privacy policy | Copyright © 2019 Farlex, Inc. | Feedback | For webmasters