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dc.contributor.authorAmin, Talha M.
dc.contributor.authorChikalov, Igor
dc.contributor.authorMoshkov, Mikhail
dc.contributor.authorZielosko, Beata
dc.date.accessioned2015-08-03T11:47:34Z
dc.date.available2015-08-03T11:47:34Z
dc.date.issued2014-02-14
dc.identifier.issn01692968
dc.identifier.doi10.3233/FI-2014-956
dc.identifier.urihttp://hdl.handle.net/10754/563397
dc.description.abstractThe paper describes a new tool for study relationships between length and coverage of exact decision rules. This tool is based on dynamic programming approach. We also present results of experiments with decision tables from UCI Machine Learning Repository.
dc.publisherIOS Press
dc.subjectcoverage
dc.subjectDecision rules
dc.subjectdynamic programming
dc.subjectlength
dc.titleRelationships between length and coverage of decision rules
dc.typeArticle
dc.contributor.departmentApplied Mathematics and Computational Science Program
dc.contributor.departmentComputational Bioscience Research Center (CBRC)
dc.contributor.departmentComputer Science Program
dc.contributor.departmentComputer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
dc.contributor.departmentExtensions of Dynamic Programming, Machine Learning and Discrete Optimization Research Group
dc.contributor.departmentOffice of the VP
dc.identifier.journalFundamenta Informaticae
dc.contributor.institutionInstitute of Computer Science, University of Silesia, 39, Bȩdzińska St., Sosnowiec 41-200, Poland
kaust.personChikalov, Igor
kaust.personMoshkov, Mikhail
kaust.personZielosko, Beata
kaust.personAmin, Talha


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