It is useful for mining underlying data patterns in large data sets but is far more than a glorified neural network system. It does a variety of regression, clustering and classification problems as well as many statistical analyses to assist in better discovering and understanding patterns in large (or smaller) data sets. It contains several familiar neural networks as well as others developed specifically for the program. To make it even more useful, there are extensive graphics capabilities so that one may visualize patterns and results to further suggest different lines of analysis.
It is Java based and the release and developer branches require Java 1.4 and 5.0 respectively.
Download it @ http://www.cs.waikato.ac.nz/~ml/weka/
There is also a very active users group that can be accessed on line @ list.scms.waikato.ac.nz/mailman/listinfo/wekalist
The developers usually refer users to the Witten and Frank text for questions (see below).
It was announced that Pentaho, an open source Business Intelligence organization, acquired the Weka project.
University of Waikato
Department of Computer Science
Private Bag 3105
HamiltonNEW ZEALAND
+64 7 838 4021 Fax: +64 7 858 5095
cs@waikato.ac.nz;
Weka Home @ www.cs.waikato.ac.nz/ml/weka
Ian H. Witten and Eibe Frank. Data Mining: Practical Machine Learning Tools and Techniques, 2nd Edition, Morgan Kaufmann, San Francisco, 2005, ISBN 0120884070.
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