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» Parallel Processing of Spatial Joins Using R-trees
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SSD
1999
Springer
97views Database» more  SSD 1999»
13 years 9 months ago
A Performance Evaluation of Spatial Join Processing Strategies
We provide an evaluation of query execution plans (QEP) in the case of queries with one or two spatial joins. The QEPs assume R -tree indexed relations and use a common set of spat...
Apostolos Papadopoulos, Philippe Rigaux, Michel Sc...
ADBIS
1995
Springer
112views Database» more  ADBIS 1995»
13 years 8 months ago
Spatial Joins and R-trees
One of the most important operations in spatial access needed systems are spatial joins. Using for processing such operations R-tree like structures is intensively studies now. Th...
M. G. Martynov
ICDE
1996
IEEE
127views Database» more  ICDE 1996»
14 years 6 months ago
Parallel Processing of Spatial Joins Using R-trees
Thomas Brinkhoff, Hans-Peter Kriegel, Bernhard See...
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
TKDE
2002
127views more  TKDE 2002»
13 years 4 months ago
Efficient Join-Index-Based Spatial-Join Processing: A Clustering Approach
A join-index is a data structure used for processing join queries in databases. Join-indices use precomputation techniques to speed up online query processing and are useful for da...
Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla, Siva...