KEEL (Knowledge Extraction based on Evolutionary Learning) data mining software, is a 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.
For additional information, their Web page is: http://www.keel.es