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Monday, August 25, 2008 11:48 AM

KDD 2008 and Incredibly Awesome SQL 2008 Data Mining Demos

Bogdan and Raman are currently outside of Las Vegas at the KDD 2008 (Knowledge Discovery and Data Mining) conference. At the conference they are showing all the goodness that is SQL Server 2008 Data Mining, but also a "secret project" that Bogdan has
Posted by JamieMac | 3 Comments
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Monday, November 19, 2007 1:18 PM

How can we mine? Let me count the ways...

Recently I received some customer feedback that SQL Server Data Mining "doesn't have enough algorithms."  More specifically, the comment was that we have the same capabilities are other Data Mining providers, we just "hide" many
Posted by JamieMac | 1 Comments
Monday, October 22, 2007 8:46 AM

New Time Series Features for SQL Server 2008

The time series algorithm has had some major changes for SQL Server 2008. We've ramped up the algorithm and added prediction against new data. While the new data prediction is just as cool as the algorithm changes, I'll have to save that for later - this
Posted by JamieMac | 1 Comments
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Saturday, June 10, 2006 11:22 AM

Help with Time Series on OLAP - another great blog with SQL Server Data Mining

Dejan Sarka writes about how to get " Cases from Multiple Dimensions of OLAP Cubes in the Time Series Algorithm " - an issue that has stymied many users. He also has a range of great posts on other DM and BI topics as well - worth a good read!
Posted by JamieMac | 0 Comments
Wednesday, February 22, 2006 1:12 PM

Forecasting on the fly using Analysis Services Data Mining and Reporting Services

Just found this great article on MSDN showing how to use session Time Series models in RS to forecast while generating a report. Cool beans!
Posted by JamieMac | 0 Comments
Monday, March 28, 2005 6:06 PM

Time Series Prediction

Last week I was playing around with the Time Series algorithm - ok I was showing a customer - and I wanted to show the prediction language used to display the charts. So I used the tools and showed them the basic prediction query for forecasting, but
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