the data miner

SQL Server Data Mining News
Volume 1, Issue 2

October 2004





Welcome to the October issue of 'The Data Miner' - the official newsletter of SQL Server Data Mining. This monthly newsletter keeps you up-to-date with the latest happenings in the SQL Server Data Mining world and gives you useful tips to help you get the most from SQL Server Data Mining.
SQLServerDataMining.com Goes Live!
The SQL Server 2005 Data Mining team has its own community web site on the internet now. SQLServerDataMining.com was officially launched this month on the PASS website (http://www.sqlpass.org). PASS had an exclusive on the launch for a week and prominently featured an introduction to SQLServerDataMining.com on its home page in the ‘What’s New’ section, as well as in the October 20 issue of the PASS Community Connector newsletter.



Also, check out the exclusive PASS SIG interview with SQL Data Mining development lead Jamie MacLennan, where he talks about the site launch and future plans.



SQLServerDataMining.com was put together by members of the SQL Server Data Mining development team with infrastructure help from Richard Tkachuk, lead program manager in the Analysis Services OLAP team. The site features sample downloads, white papers, articles and useful SQL Data Mining tips and tricks from the product team.

More Magazine Articles from the SQL Data Mining Team
This month yielded a bumper crop of publications from the development team, with three articles in industry magazines on SQL Server 2005 Data Mining:



In "Detect Anomalies in Excel Spreadsheets", published by Access-VB-SQL Advisor magazine, Bogdan Crivat and Jamie MacLennan show us how to use SQL Server 2005 Data Mining inside Excel to detect spreadsheet values that do not fit the general patterns in the rest of the data.



The feature article “SQL Server 2005 Data Mining: Create a Web Cross-sell Application” in ASP.NET PRO magazine’s October issue shows developers how they can easily add cross-sell functionality to their ASP.NET web pages by employing the power of SQL Server Data Mining. This article was written by Jesper Lind and Raman Iyer.



Zhaohui Tang’s “What’s New in SQL Server 2005 Data Mining” was published in SQL Server Central magazine’s September/October 2004 issue. A copy of the article can be downloaded from SQLServerDataMining.com.

SQL Server Data Mining Resources
· SQL Server Data Mining Community Site

· SQL Server 2005 Newsgroups

· Microsoft SQL Server 2005 Web Site

· SQL Server Developer’s Center

Talk to us
We appreciate your feedback on the product. Please post your questions and comments to our newsgroups:

· SQL Server 2005 Beta: microsoft.private.sqlserver2005.analysisservices.d atamining

· SQL Server 2000: microsoft.public.sqlserver.datamining





Thank you

The SQL Server Data Mining Team



Questions or comments? E-mail web (AT) sqlserverdatamining (DOT) com.