Automated construction of fuzzy event sets and its application to active databases

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buir.contributor.authorUlusoy, Özgür
dc.citation.epage460en_US
dc.citation.issueNumber3en_US
dc.citation.spage450en_US
dc.citation.volumeNumber9en_US
dc.contributor.authorSaygin, Y.en_US
dc.contributor.authorUlusoy, Özgüren_US
dc.date.accessioned2016-02-08T10:35:21Z
dc.date.available2016-02-08T10:35:21Zen_US
dc.date.issued2001en_US
dc.departmentDepartment of Computer Engineeringen_US
dc.description.abstractFuzzy sets and fuzzy logic research aims to bridge the gap between the crisp world of math and the real world. Fuzzy set theory was applied to many different areas, from control to databases. Sometimes the number of events in an event-driven system may become very high and unmanageable. Therefore, it is very useful to organize the events into fuzzy event sets also introducing the benefits of the fuzzy set theory. All the events that have occurred in a system can be stored in event histories which contain precious hidden information. In this paper, we propose a method for automated construction of fuzzy event sets out of event histories via data mining techniques. The useful information hidden in the event history is extracted into a matrix called sequential proximity matrix. This matrix shows the proximities of events and it is used for fuzzy rule execution via similarity based event detection and construction of fuzzy event sets. Our application platform is active databases. We describe how fuzzy event sets can be exploited for similarity based event detection and fuzzy rule execution in active database systems.en_US
dc.identifier.doi10.1109/91.928741en_US
dc.identifier.issn1063-6706
dc.identifier.issn1941-0034
dc.identifier.urihttp://hdl.handle.net/11693/24855en_US
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttp://dx.doi.org/10.1109/91.928741en_US
dc.source.titleIEEE Transactions on Fuzzy Systemsen_US
dc.subjectActive Databasesen_US
dc.subjectFuzzy Event Setsen_US
dc.subjectFuzzy Rule Executionen_US
dc.subjectFuzzy Triggersen_US
dc.subjectSimilarity Based Event Detectionen_US
dc.subjectAlgorithmsen_US
dc.subjectData Miningen_US
dc.subjectDatabase Systemsen_US
dc.subjectGraph Theoryen_US
dc.subjectHuman Computer Interactionen_US
dc.subjectIterative Methodsen_US
dc.subjectKnowledge Based Systemsen_US
dc.subjectMathematical Modelsen_US
dc.subjectMatrix Algebraen_US
dc.subjectMembership Functionsen_US
dc.subjectSemanticsen_US
dc.subjectActive Databasesen_US
dc.subjectFuzzy Event Setsen_US
dc.subjectFuzzy Rule Executionen_US
dc.subjectSequential Proximity Matrixen_US
dc.subjectSimilarity Based Event Detectionen_US
dc.subjectFuzzy Setsen_US
dc.titleAutomated construction of fuzzy event sets and its application to active databasesen_US
dc.typeArticleen_US

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