Dynamic Programming Approach for Construction of Association Rule Systems

Fawaz Alsolami, Talha M. Amin, Igor Chikalov, Mikhail Moshkov, Beata Zielosko

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


In 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.
Original languageEnglish (US)
Pages (from-to)159-171
Number of pages13
JournalFundamenta Informaticae
Issue number2-3
StatePublished - Nov 18 2016

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: Research 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.


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