Win an Autographed Copy of 'Data Mining with SQL
Server 2008' Book
Tell us how
you are using SQL Server Data Mining for a chance to win one of 10 autographed
copies of the just-released book
Data Mining with SQL Server 2008, by SQL DM product gurus
Bogdan Crivat and
Zhaohui Tang. To qualify, please
take the survey
by November 21, 2008.
We are looking forward to hearing from you - your input
will help us to not only improve the product but also determine the future
vision for SQL Server Data Mining!
New Additions to SQL Server Cloud Data Mining
last issue, we brought you news about the public unveiling of the
Table Analysis Tools for the
Cloud project from SQL
Services Labs. The project has moved forward since then and added some cool
new features, including the
Prediction Calculator from the
SQL Server 2008 Data Mining Add-ins for Office 2007 and support for mining
cloud data from SQL Data
Services. Check it out
in your favorite web browser!
Support Vector Machines Algorithm for SQL Server Data
Several customers have requested support (pun intended) for
the popular Support Vector Machines algorithm and their wish has been granted -
but not by the product team! Joris Valkonet, Thanh Luc and Mark Beerens of
Avanade Netherlands have taken advantage of
the SQL Server Data Mining plug-in algorithm and viewer framework to publish a
plug-in SVM algorithm complete
with its own viewer that plugs into BI Development Studio and SQL Management
Studio. The implementation is written in managed code (C#) using the
Managed Plug-in Algorithm Framework and it is available for download with
full source code on CodePlex.
SQL Server 2008 DM Viewer Controls in October
have been waiting to get your hands on the updated SQL Server 2008 DM Viewer
Controls for embedding in your custom DM applications, they are now available
in redistributable form as part of the
SQL Server 2008 Feature
Pack (October 2008). These are the same WinForm controls that allow you to
browse mining models in BI Development Studio, SQL Management Studio and the
Data Mining Add-ins for Office 2007. Now go forth and embed!
Predictive Analytics for the Retail Industry
Microsoft has published a
white paper that shows you how to apply SQL Server Data Mining to address
typical retail scenarios. The examples it explores include churn analysis to
estimate the number of customers in danger of being lost, market analysis to
show how customers are distributed between high and low value segments, and
market basket analysis to determine those products that customers are more
likely to buy together.
SQL Server Data Mining
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