germanTra

<p>Training data for the german dataset</p>

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. Gonz<c3><a1>lez, 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.

Angel M. Garcia

SDEFSR

Subgroup Discovery with Evolutionary Fuzzy Systems

Pedro Gonzalez

Cristobal J. Carmona

Francisco Charte

Maria J. del Jesus

germanTra function

<p>A SDEFSR_Dataset class with 800 instances, 20 variables (without the target variable)
    and 2 values for the target class.</p>

Format

German Credit data set — germanTra

German Credit data set

germanTra: German Credit data set

Description

Arguments

Format

Details

Examples