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KEEL icon

KEEL

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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...

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License model

  • FreeProprietary

Application type

Platforms

  • Mac  [http://sci2s.ugr.es/keel/download.php](http://sci2s.ugr.es/keel/download.php)
  • Windows  [http://sci2s.ugr.es/keel/download.php](http://sci2s.ugr.es/keel/download.php)
  • Linux  [http://sci2s.ugr.es/keel/download.php](http://sci2s.ugr.es/keel/download.php)
  • BSD  [http://sci2s.ugr.es/keel/download.php](http://sci2s.ugr.es/keel/download.php)
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Features

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  1.  Data Mining
  2.  Clustering

 Tags

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

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KEEL information

  • Developed by

    Soft Computing and Intelligent Information Systems Research Group, Granada, Spain
  • Licensing

    Proprietary and Free product.
  • Alternatives

    10 alternatives listed
  • Supported Languages

    • English

AlternativeTo Category

Education & Reference

Our users have written 0 comments and reviews about KEEL, and it has gotten 1 likes

KEEL was added to AlternativeTo by herberthackel on Oct 17, 2014 and this page was last updated Mar 11, 2019.
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What is KEEL?

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.