Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Summary

Market: General data mining applications.
Techniques: Associations using apriori. Classification using decision trees. Clustering using k-means (See Chapter [*]) and EM. Regression using regression trees, neural networks, MARS, generalised linear models and CHAID. Miscellaneous techniques including boosting and survival analysis.
Platforms: MSWindows with potential for clients running in web browsers.
Website: http://www.statsoft.com
Pricing: Available from vendor.
Vendor: StatSoft, Tulsa, Oklahoma.



Copyright © 2004-2006 Graham.Williams@togaware.com
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