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

Subgroup discovery is a data mining task halfway between descriptive and predictive data mining. Nowadays it is very relevant for researchers 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 the 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 parameters of the algorithms.

Ángel M. García , Francisco Charte , Pedro González , Cristóbal J. Carmona , María J. del Jesus
2016-09-09

CRAN packages used

rsubgroup, SDEFSR, devtools, mldr

CRAN Task Views implied by cited packages

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Citation

For attribution, please cite this work as

García, et al., "Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package", The R Journal, 2016

BibTeX citation

@article{RJ-2016-048,
  author = {García, Ángel M. and Charte, Francisco and González, Pedro and Carmona, Cristóbal J. and Jesus, María J. del},
  title = {Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package},
  journal = {The R Journal},
  year = {2016},
  note = {https://doi.org/10.32614/RJ-2016-048},
  doi = {10.32614/RJ-2016-048},
  volume = {8},
  issue = {2},
  issn = {2073-4859},
  pages = {307-323}
}