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the data miner
SQL Server Data
Mining News
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Volume 1, Issue 2
October 2004
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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.datamining
·
SQL Server 2000: microsoft.public.sqlserver.datamining
Thank you
The SQL Server Data
Mining Team
Questions
or comments? E-mail
newsletter@sqlserverdatamining.com.