CRAN/E | SDEFSR

SDEFSR

Subgroup Discovery with Evolutionary Fuzzy Systems

Installation

About

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.

github.com/SIMIDAT/SDEFSR

Key Metrics

Version 0.7.22
R ≥ 3.0.0
Published 2021-04-30 1144 days ago
Needs compilation? no
License LGPL (≥ 3)
CRAN checks SDEFSR results

Downloads

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Maintainer

Maintainer

Angel M. Garcia

Authors

Angel M. Garcia

aut / cre

Pedro Gonzalez

aut / cph

Cristobal J. Carmona

aut / cph

Francisco Charte

ctb

Maria J. del Jesus

aut / cph

Material

NEWS
Reference manual
Package source

Vignettes

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

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

SDEFSR archive

Depends

R ≥ 3.0.0

Imports

foreign
methods
parallel
stats
utils
ggplot2
shiny ≥0.11

Suggests

knitr
rmarkdown