Implementation of evolutionary fuzzy systems for the data mining task called "subgroup discovery". In particular, the algorithms presented in this package are: M. J. del Jesus, P. Gonzalez, F. Herrera, M. Mesonero (2007) <doi:10.1109/TFUZZ.2006.890662> M. J. del Jesus, P. Gonzalez, F. Herrera (2007) <doi:10.1109/MCDM.2007.369416> C. J. Carmona, P. Gonzalez, M. J. del Jesus, F. Herrera (2010) <doi:10.1109/TFUZZ.2010.2060200> C. J. Carmona, V. Ruiz-Rodado, M. J. del Jesus, A. Weber, M. Grootveld, P. González, D. Elizondo (2015) <doi:10.1016/j.ins.2014.11.030> It also provide a Shiny App to ease the analysis. The algorithms work with data sets provided in KEEL, ARFF and CSV format and also with data.frame objects.
| Version: | 0.7.22 |
| Depends: | R (≥ 3.0.0) |
| Imports: | foreign, methods, parallel, stats, utils, ggplot2, shiny (≥ 0.11) |
| Suggests: | knitr, rmarkdown |
| Published: | 2021-04-30 |
| Author: | Angel M. Garcia [aut, cre], Pedro Gonzalez [aut, cph], Cristobal J. Carmona [aut, cph], Francisco Charte [ctb], Maria J. del Jesus [aut, cph] |
| Maintainer: | Angel M. Garcia <agvico at ujaen.es> |
| License: | LGPL (≥ 3) |
| URL: | https://github.com/SIMIDAT/SDEFSR |
| NeedsCompilation: | no |
| Materials: | NEWS |
| CRAN checks: | SDEFSR results |
| Reference manual: | SDEFSR.pdf |
| Vignettes: |
Subgroup Discovery with Evolutionary Fuzzy Systems in R: the SDEFSR Package |
| Package source: | SDEFSR_0.7.22.tar.gz |
| Windows binaries: | r-devel: SDEFSR_0.7.22.zip, r-release: SDEFSR_0.7.22.zip, r-oldrel: SDEFSR_0.7.22.zip |
| macOS binaries: | r-release (arm64): SDEFSR_0.7.22.tgz, r-release (x86_64): SDEFSR_0.7.22.tgz, r-oldrel: SDEFSR_0.7.22.tgz |
| Old sources: | SDEFSR archive |
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