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KEEL

KEEL is an open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining... Created by Soft Computing and Intelligent Information Systems Research Group, Granada, Spain

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KEEL is an open source (GPLv3) Java 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 (training set 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.... More Info »

Link to official KEEL site

Official Website

Features

Clustering Data Mining Add a feature

Category

Education & Reference

Tags

classification datasets fuzzy-systems genetic-algorithms knowledge-extraction learning neural-networks regression

KEEL was added by herberthackel in Oct 2014 and the latest update was made in Mar 2019. The list of alternatives was updated May 2019. It's possible to update the information on KEEL or report it as discontinued, duplicated or spam.

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