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Strong valid inequalities for Boolean logical pattern generation

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dc.contributor.authorYan, Kedong-
dc.contributor.authorRyoo, Hong Seo-
dc.date.accessioned2021-09-03T02:19:01Z-
dc.date.available2021-09-03T02:19:01Z-
dc.date.created2021-06-16-
dc.date.issued2017-09-
dc.identifier.issn0925-5001-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/82392-
dc.description.abstract0-1 multilinear programming (MP) captures the essence of pattern generation in logical analysis of data (LAD). This paper utilizes graph theoretic analysis of data to discover useful neighborhood properties among data for data reduction and multi-term linearization of the common constraint of an MP pattern generation model in a small number of stronger valid inequalities. This means that, with a systematic way to more efficiently generating Boolean logical patterns, LAD can be used for more effective analysis of data in practice. Mathematical properties and the utility of the new valid inequalities are illustrated on small examples and demonstrated through extensive experiments on 12 real-life data mining datasets.-
dc.languageEnglish-
dc.language.isoen-
dc.publisherSPRINGER-
dc.subjectLOCAL SEARCH-
dc.subjectOPTIMIZATION-
dc.subjectMODELS-
dc.subjectRISK-
dc.titleStrong valid inequalities for Boolean logical pattern generation-
dc.typeArticle-
dc.contributor.affiliatedAuthorRyoo, Hong Seo-
dc.identifier.doi10.1007/s10898-017-0512-2-
dc.identifier.scopusid2-s2.0-85015625861-
dc.identifier.wosid000408066400009-
dc.identifier.bibliographicCitationJOURNAL OF GLOBAL OPTIMIZATION, v.69, no.1, pp.183 - 230-
dc.relation.isPartOfJOURNAL OF GLOBAL OPTIMIZATION-
dc.citation.titleJOURNAL OF GLOBAL OPTIMIZATION-
dc.citation.volume69-
dc.citation.number1-
dc.citation.startPage183-
dc.citation.endPage230-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.description.journalClass1-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaOperations Research & Management Science-
dc.relation.journalResearchAreaMathematics-
dc.relation.journalWebOfScienceCategoryOperations Research & Management Science-
dc.relation.journalWebOfScienceCategoryMathematics, Applied-
dc.subject.keywordPlusLOCAL SEARCH-
dc.subject.keywordPlusOPTIMIZATION-
dc.subject.keywordPlusMODELS-
dc.subject.keywordPlusRISK-
dc.subject.keywordAuthorBoolean logic-
dc.subject.keywordAuthorLogical analysis of data-
dc.subject.keywordAuthorPattern-
dc.subject.keywordAuthor0-1 multilinear programming-
dc.subject.keywordAuthor0-1 linearization-
dc.subject.keywordAuthorHypercube-
dc.subject.keywordAuthorClique-
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