Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Summary

Market: General data mining application developers.
Techniques: Associations using apriori (apriori). Associations using eclat (eclat). Classification using Bayesian network (ines). Classification using decision trees (dtree). Classification using naive Bayes (bayes). Regression using neural network (nn). Clustering using self-organising maps (xsom).
Platforms: Linux, Unix, MSWindows.
Website: http://fuzzy.cs.uni-magdeburg.de/~borgelt/software.html
Pricing: Freely available--GNU Lesser General Public License.
Vendor: Borgelt, Germany.



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