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dc.creatorAlzate J.C.spa
dc.creatorMoreno F.J.spa
dc.creatorEcheverri J.spa
dc.date.accessioned2016-06-23T21:52:10Z
dc.date.available2016-06-23T21:52:10Z
dc.date.created2012
dc.identifier.isbn9780735410916
dc.identifier.issn0094243X
dc.identifier.urihttp://hdl.handle.net/11407/2324
dc.description.abstractOLAP (On Line Analytical Processing) is a set of techniques and operators to facilitate the data analysis usually stored in a data warehouse. In this paper, we extend the functionality of an OLAP operator known as Map Cube with the definition and incorporation of a function that allows the formulation of spatio-temporal queries. For example, consider a data warehouse about crimes that includes data about the places where the crimes were committed. Suppose we want to find and visualize the trajectory (a trajectory is just the path that an object follows through space as a function of time) of the crimes of a suspect beginning with his oldest crime and ending with his most recent one. In order to meet this requirement, we extend the Map Cube operator.eng
dc.language.isoeng
dc.relation.isversionofhttp://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4756656spa
dc.sourceScopusspa
dc.titleA spatio-temporal extension to the map cube operatorspa
dc.typeConference Papereng
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.rights.accessrightsinfo:eu-repo/semantics/restrictedAccess
dc.contributor.affiliationUniversidad Nacional de Colombia, Sede Medellín Facultad de Minas, Colombiaspa
dc.contributor.affiliationUniversidad de Medellín, Colombiaspa
dc.identifier.doi10.1063/1.4756656
dc.subject.keywordData Warehouseeng
dc.subject.keywordKMLeng
dc.subject.keywordMap Cubeeng
dc.subject.keywordOLAP operatorseng
dc.subject.keywordtrajectoryeng
dc.relation.ispartofenAIP Conference Proceedings Volume 1479, Issue 1, 2012, Pages 2310-2314eng
dc.type.driverinfo:eu-repo/semantics/conferenceObject


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