HEAL DSpace

An Efficient Cost Model for Spatial Joins Using R-trees

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dc.contributor.author Theodoridis, Y en
dc.contributor.author Stefanakis, E en
dc.contributor.author Sellis, T en
dc.date.accessioned 2014-03-01T01:45:31Z
dc.date.available 2014-03-01T01:45:31Z
dc.date.issued 1997 en
dc.identifier.uri http://hdl.handle.net/123456789/24605
dc.subject Analytical Model en
dc.subject Cost Model en
dc.subject Efficient Estimation en
dc.subject Management System en
dc.subject Range Query en
dc.subject Spatial Data en
dc.subject Spatial Database en
dc.subject Spatial Join en
dc.title An Efficient Cost Model for Spatial Joins Using R-trees en
heal.type journalArticle en
heal.publicationDate 1997 en
heal.abstract Spatial j oin is one of t he fundamental operations in a Spatial Data Base Management System. Recently, the family of R-tree-based da ta structures has been adopted to support the execution of spatial joins. This paper introduces an analytical model that efficiently estimates the cost (in terms of disk accesses) of a spatial join query between two spatial datasets. en
heal.journalName IEEE Transactions on Knowledge and Data Engineering en


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