KEEL (Knowledge Extraction based on Evolutionary Learning) is an open source software tool (GPLv3) developed in Java that can be used for a large number of different knowledge data discovery tasks. KEEL provides a simple graphical user interface based on data flow to design experiments with different data sets and computational intelligence algorithms (paying special attention to evolutionary algorithms) in order to evaluate the behavior of the algorithms. It allows a complete analysis of new computational intelligence proposals compared to existing ones. In addition, KEEL has been designed with a double objective: research and education.

Contact: Jesús Alcalá Fernández and Salvador García López

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