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 | https://dspace.lib.ntua.gr/xmlui/handle/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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