Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Summary

Market: General data mining applications.
Techniques: Association analysis using apriori. Classification using C5.0. Clustering using k-means (See Chapter [*]) and Kohonen self organising maps. Multivariate using principle component analysis and factor analysis. Regression using neural networks. Visualisation (Web Graph).
Platforms: Linux, Unix, MSWindows.
Website: http://www.spss.com/spssbi/clementine/
Vendor: SPSS, Chicago, Illinois.



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