Package: niarules 0.1.0

niarules: Numerical Association Rule Mining using Population-Based Nature-Inspired Algorithms

Framework is devoted to mining numerical association rules through the utilization of nature-inspired algorithms for optimization. Drawing inspiration from the 'NiaARM' 'Python' and the 'NiaARM' 'Julia' packages, this repository introduces the capability to perform numerical association rule mining in the R programming language. Fister Jr., Iglesias, Galvez, Del Ser, Osaba and Fister (2018) <doi:10.1007/978-3-030-03493-1_9>.

Authors:Iztok Jr. Fister [aut, cre, cph]

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Peer review:

Bug tracker:https://github.com/firefly-cpp/niarules/issues

On CRAN:

association-rulesmetaheuristicsoptimization

21 exports 1.39 score 0 dependencies 1 scripts 148 downloads

Last updated 2 months agofrom:348ee5b5b7. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:add_association_ruleadd_attributebuild_rulecalculate_bordercalculate_fitnesscalculate_selected_categorycheck_attributecut_pointdifferential_evolutionevaluateextract_feature_infofeature_bordersfeature_positionfix_bordersprint_association_rulesprint_feature_infoproblem_dimensionread_datasetrssupp_confwrite_association_rules_to_csv

Dependencies: