Togaware DATA MINING
Desktop Survival Guide
by Graham Williams
Google

Summary

Market: Internal data mining applications with statistical backing.
Techniques: Associations. Classification using decision trees and logistic regression. Clustering using k-means. Regression using neural networks and generalised linear models. Ensembles and model assessment. Statistical tools.
Platforms: GNU/Linux, Unix, MSWindows.
Website: http://www.sas.com.
Pricing: High end, annual fees, tens or hundreds of thousand dollars.
Vendor: SAS Institute, Cary, North Carolina.



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