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» Benchmarking Spatial Join Operations with Spatial Output
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SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
13 years 9 months ago
Integration of Spatial Join Algorithms for Processing Multiple Inputs
Several techniques that compute the join between two spatial datasets have been proposed during the last decade. Among these methods, some consider existing indices for the joined...
Nikos Mamoulis, Dimitris Papadias
SSD
2001
Springer
94views Database» more  SSD 2001»
13 years 9 months ago
Selectivity Estimation of Complex Spatial Queries
Several studies have focused on the efficient processing of simple spatial query types such as selections and spatial joins. Little work, however, has been done towards the optimiz...
Nikos Mamoulis, Dimitris Papadias
ICPADS
2000
IEEE
13 years 9 months ago
Parallel Spatial Joins Using Grid Files
The most costly spatial operation in spatial databases is a spatial join with combines objects from two data sets based on spatial predicates. Even if the execution time of sequen...
Jin-Deog Kim, Bonghee Hong
DANTE
1999
IEEE
149views Database» more  DANTE 1999»
13 years 9 months ago
Parallel R-Tree Spatial Join for a Shared-Nothing Architecture
The growing importance of spatial data has made it imperative that spatial operations be executed efficiently. The most expensive operation is the join for spatial databases. This...
Lawrence Mutenda, Masaru Kitsuregawa
PODS
1999
ACM
133views Database» more  PODS 1999»
13 years 9 months ago
Processing and Optimization of Multiway Spatial Joins Using R-Trees
One of the most important types of query processing in spatial databases and geographic information systems is the spatial join, an operation that selects, from two relations, all...
Dimitris Papadias, Nikos Mamoulis, Yannis Theodori...