Desktop Survival Guide
by Graham Williams

From University of Waikato

WEKA (the Waikato Environment for Knowledge Analysis) is an open source and freely available workbench for applying machine learning techniques to practical problems, integrating many different machine learning tools within a common framework and a uniform, if basic but functional, user interface. WEKA incorporates over 60 machine learning techniques, ranging from traditional decision trees, association rules, clustering, through to modern random forests and support vector machines. A WEKA user is able to use machine learning techniques to derive useful knowledge from quite large databases. Typical users include both researchers and industrial scientists.


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