The Data Miner: SQL Server Data Mining News (June 2005)
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the data miner
SQL Server Data
Mining News |
June 2005
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Welcome to
the June 2005 issue of 'The Data Miner' - the official newsletter of SQL Server
Data Mining. This periodic 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.
In This Issue
(click topic to go directly to it):
SQL 2005 Data Mining Helps Seattle Times Target the
Right Customers
This
ComputerWorld article describes how The Seattle Times worked with Apollo
Data Technologies to build predictive models to identify the right customer
segments to target for promotions. The Seattle Times hopes to use the technology
to combat declining newspaper subscriptions. The article quotes Seattle Times'
director of systems development as saying that "the use of SQL Server [Data
Mining] will enable easy integration with other SQL Server databases and .Net
applications already in use." The newspaper's IT organization will run the SQL
Server Data Mining models developed by Apollo against their 1.6 million
subscriber database to produce targeted promotions.
SQL Server 2005
June Community Technology Preview Available For Public Download
The June CTP is the first pre-release version of SQL Server
2005 that's available for general testing. Previous versions have been available
only to customers enrolled in the SQL Server 2005 beta program or those with an
MSDN subscription. Go ahead and
download
this stable release and experiment with the cool data mining technology in SQL
Server 2005. And don't forget to share this link with your customers and friends
in the industry.
Data Mining Lab Gets Top Rating At Tech.Ed 2005
SQL Server Data Mining had a significant presence at Tech.Ed
2005 with two talks (Smart
BI: Integrating Data Mining Across the SQL Server Business Intelligence Stack,
Building Intelligent Applications Using SQL Server 2005 Data Mining), a Q&A
session (Data
Mining in SQL Server 2005 Analysis Services) and a hands-on lab (Data Mining
With SQL Server 2005) that was rated #1 in the database labs.
New SQL 2005 Data Mining Articles in MSDN
Magazine
In "Say
What? Make Sense of Your Web Feedback using SQL Server 2005",
Peter Kim shows us how to mine the reams of unstructured text data that typical
web sites gather from their feedback forms. This article highlights how the text
processing transforms in Integration Services fit together with SQL Server Data
Mining to enable this common text classification scenario on the SQL Server 2005
platform.
SQL Server Data Mining team member Liu Tang collaborates with
Paul Bradley from Apollo Data Technologies on this article that guides you
through the intricacies of building your own data mining application using AMO,
the powerful new object model for programmatically building and manipulating
data mining and OLAP objects in SQL Server 2005 - check out "Mine
Your Business: AMO Lets You Dig Deeper into Your Data from Your Own
Applications".
SIGMOD Record Features SQL Server Data Mining
Standards
The June 2005 issue of SIGMOD Record, the monthly magazine of
the ACM's Special Interest Group on Management of Data (SIGMOD), features
Building Data Mining Solutions with OLE DB for DM and XML for Analysis, an
overview of SQL Server Data Mining from a standards perspective.
Data Mining Webcasts: Reloaded
In case you missed Jamie MacLennan's "Overview of SQL
Server 2005 Data Mining" TechNet webcast on May 25, the
replay is now available. His previous MSDN webcast is also available for
on-demand viewing: check out
Putting the "Smart" in Smart Client: Using Data Mining for Data Validation in
Your Smart Client Applications.
And here are the upcoming SQL Server Data Mining live webcasts:
MSDN Webcast: Intelligent Applications: Embedding Data Mining in Your
Application (Level 300)
Thursday, June 30, 2005 [9:00
A.M.–10:00 A.M. Pacific Time]
MSDN Webcast: Leverage Data Mining in Integration, Analysis and Reporting Stack
of BI (Level 300)
Thursday, July 7, 2005 [1:00
P.M.–2:00 P.M. Pacific Time]
Back Issues
You can find previous issues (as well the current
edition) of this newsletter
here.
Thank you
The SQL Server Data
Mining Team
Questions
or comments? E-mail
newsletter@sqlserverdatamining.com.