Mining periodic spatio-temporal co-occurrence patterns: A summary of results

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dc.contributor.authorCelik M.
dc.contributor.authorAzginoglu N.
dc.contributor.authorTerzi R.
dc.date.accessioned2019-08-01T13:38:39Z
dc.date.available2019-08-01T13:38:39Z
dc.date.issued2012
dc.departmentNiğde ÖHÜ
dc.descriptionInternational Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012 -- 2 July 2012 through 4 July 2012 -- Trabzon -- 92831
dc.description.abstractPeriodic spatio-temporal co-occurrence patterns (PECOPs) represent subsets of object-types that are often periodically located together in space and time. Discovering PECOPs is an important problem with many applications such as discovering interactions between animals and identifying tactics in games. However, mining PECOPs is computationally very expensive because the interest measures are computationally complex, databases are larger due to the archival history, and the set of candidate patterns is exponential in the number of object-types. In this paper, we define the problem of mining PECOPs, and propose a novel PECOP mining algorithm. The experimental results show that the proposed algorithm is computationally more efficient than the naïve alternatives. © 2012 IEEE.
dc.identifier.doi10.1109/INISTA.2012.6247044
dc.identifier.isbn9.78147E+12
dc.identifier.scopus2-s2.0-84866601845
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://dx.doi.org/10.1109/INISTA.2012.6247044
dc.identifier.urihttps://hdl.handle.net/11480/887
dc.indekslendigikaynakScopus
dc.institutionauthor[0-Belirlenecek]
dc.language.isoen
dc.relation.ispartofINISTA 2012 - International Symposium on INnovations in Intelligent SysTems and Applications
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectdynamic time warping
dc.subjectspatial co-location
dc.subjectspatio-temporal periodic co-occurrence pattern mining spatio-temporal data mining
dc.titleMining periodic spatio-temporal co-occurrence patterns: A summary of results
dc.typeConference Object

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