Subgroup Discovery with Evolutionary Fuzzy Systems in R


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Documentation for package ‘SDEFSR’ version 0.7.1.0

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SDEFSR-package SDEFSR: A package for Subgroup Discovery with Evolutionary Fuzzy Systems in R
carTra Car evaluation dataset
carTst Car evaluation dataset
FUGEPSD Fuzzy Genetic Programming-based learning for Subgroup Discovery (FuGePSD) Algorithm.
germanTra German Credit data set
germanTst German Credit data set
habermanRules Haberman survival rule set
habermanTra Haberman survival data set
habermanTst Haberman survival data set
MESDIF Multiobjective Evolutionary Subgroup DIscovery Fuzzy rules (MESDIF) Algorithm
NMEEF_SD Non-dominated Multi-objective Evolutionary algorithm for Extracting Fuzzy rules in Subgroup Discovery (NMEEF-SD)
plotRules Plot a rule set generated by a SDEFSR algorithm
print.SDEFSR_Dataset S3 function to print in console the contents of the dataset This function shows the matrix of data uncoded.
read.dataset Reads a KEEL, ARFF or CSV data format file.
Rule.compatibility Return the compatibility degrees of a rule with all instances of a given dataset.
SDEFSR SDEFSR: A package for Subgroup Discovery with Evolutionary Fuzzy Systems in R
SDEFSR_DatasetFromDataFrame Creates a 'SDEFSR_Dataset' object from a 'data.frame'
SDEFSR_GUI Launch a web interface for use the algorithms easily.
SDIGA Subgroup Discovery Iterative Genetic Algorithm (SDIGA)
sort.SDEFSR_Rules @title Return an ordered rule set by a given quality measure @description This function sorts a rule set in descendant order by a given quality measure that are available on the object
summary.SDEFSR_Dataset S3 function to summary a SDEFSR_Dataset object
tournamentSelection Performs tournament selection for the FuGePSD algorithm
[.SDEFSR_Rules Filter rules in a 'SDEFSR_Rules' object returning a new 'SDEFSR_Rules' object