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Dynamic Programming Approach for Construction of Association Rule Systems

dc.contributor.authorAlsolami, Fawaz
dc.contributor.authorAmin, Talha M.
dc.contributor.authorChikalov, Igor
dc.contributor.authorMoshkov, Mikhail
dc.contributor.authorZielosko, Beata
dc.date.accessioned2017-01-02T09:55:29Z
dc.date.available2017-01-02T09:55:29Z
dc.date.issued2016-11-18
dc.identifier.citationFawaz Alsolami, Talha Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko. Dynamic Programming Approach for Construction of Association Rule Systems. FI. IOS Press; 2016;147: 159–171. doi:10.3233/FI-2016-1402
dc.identifier.issn0169-2968
dc.identifier.issn1875-8681
dc.identifier.doi10.3233/FI-2016-1402
dc.identifier.urihttp://hdl.handle.net/10754/622538
dc.description.abstractIn the paper, an application of dynamic programming approach for optimization of association rules from the point of view of knowledge representation is considered. The association rule set is optimized in two stages, first for minimum cardinality and then for minimum length of rules. Experimental results present cardinality of the set of association rules constructed for information system and lower bound on minimum possible cardinality of rule set based on the information obtained during algorithm work as well as obtained results for length.
dc.description.sponsorshipResearch reported in this publication was supported by the King Abdullah University of Science and Technology (KAUST). The authors are greatly indebted to reviewers for useful comments.
dc.publisherIOS Press
dc.relation.urlhttp://content.iospress.com/articles/fundamenta-informaticae/fi1402
dc.subjectassociation rules
dc.subjectdecision rules
dc.subjectdynamic programming
dc.subjectrough sets
dc.subjectset cover problem
dc.titleDynamic Programming Approach for Construction of Association Rule Systems
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.departmentOffice of the VP
dc.identifier.journalFundamenta Informaticae
dc.contributor.institutionInstitute of Computer Science, University of Silesia, 39, Bȩdzińska St., Sosnowiec, Poland
kaust.personAlsolami, Fawaz
kaust.personAmin, Talha
kaust.personChikalov, Igor
kaust.personMoshkov, Mikhail


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