The R Journal: article published in 2016, volume 8:2

Subgroup Discovery with Evolutionary Fuzzy Systems in R: The SDEFSR Package
Ángel M. García, Francisco Charte, Pedro González, Cristóbal J. Carmona and María J. del Jesus , The R Journal (2016) 8:2, pages 307-323.

Abstract 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.

Received: 2016-03-24; online 2016-09-09
CRAN packages: rsubgroup, SDEFSR, devtools, mldr

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

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