Subgroup Discovery with Evolutionary Fuzzy Systems
S3 function to convert into a data.frame the SDEFSR datasetThis functi...
Fuzzy Genetic Programming-based learning for Subgroup Discovery (FuGeP...
Multiobjective Evolutionary Subgroup DIscovery Fuzzy rules (MESDIF) Al...
Non-dominated Multi-objective Evolutionary algorithm for Extracting Fu...
Plot a rule set generated by a SDEFSR algorithm
S3 function to print in console the contents of the datasetThis functi...
Reads a KEEL, ARFF or CSV data format file.
SDEFSR: A package for Subgroup Discovery with Evolutionary Fuzzy Syste...
Creates a SDEFSR_Dataset object from a data.frame
Launch a web interface for use the algorithms easily.
Subgroup Discovery Iterative Genetic Algorithm (SDIGA)
@title Return an ordered rule set by a given quality measure@descripti...
Filter rules in a SDEFSR_Rules object returning a new SDEFSR_Rules...
S3 function to summary a SDEFSR_Dataset object
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.