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 © 2004-2010 Togaware Pty Ltd
Support further development through the purchase of the PDF version of the book.
The PDF version is a formatted comprehensive draft book (with over 800 pages).
Brought to you by Togaware. This page generated: Sunday, 22 August 2010