KEEL (Knowledge Extraction based on Evolutionary Learning)

KEEL is a software tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on. It contains a big collection of classical knowledge extraction algorithms, preprocessing techniques (instance selection, feature selection, discretization, imputation methods for missing values, etc.), Computational Intelligence based learning algorithms, including evolutionary rule learning algorithms based on different approaches (Pittsburgh, Michigan and IRL, ...), and hybrid models such as genetic fuzzy systems, evolutionary neural networks, etc.

It allows us to perform a complete analysis of any learning model in comparison to existing ones, including a statistical test module for comparison. Moreover, KEEL has been designed with a double goal: research and educational.

Licensing

KEEL software is free to downloading and use, but the source code is not directly visible. However, you may ask for the code of a particular algorithm. KEEL may be released under a GPL license in the future.

Links

Software Form edit

Name KEEL (Knowledge Extraction based on Evolutionary Learning)
Brief Summary Tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering and pattern mining.
License Type Free - Other Licence
Data Mining Approaches Classification Discovery, Cluster Discovery, Regression Discovery, Association Discovery, Data Visualisation, Discovery Visualisation
Currently Available Currently Available
Website http://www.keel.es
Topic revision: r2 - 13 Mar 2008 - 19:00:02 - Andy Pryke
 

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