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Subgroup discovery is a data mining task half-way between descriptive and predictive data mining. Nowadays it is very relevant for researches due to the fact that the knowledge extracted is simple and interesting. For this task, evolutionary fuzzy systems are well suited algorithms because they can find a good trade-off between multiple objectives in large search spaces. In fact, this paper presents the SDEFSR package, which contains all evolutionary fuzzy systems for subgroup discovery presented throughout the literature. It is a package without dependencies on other software, providing functions with recommended default parameters. In addition, it brings a graphical user interface to avoid the user having to know all the algorithm’s parameters.

Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package