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SIGMOD
1999
ACM
98views Database» more  SIGMOD 1999»
15 years 2 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
VLDB
1995
ACM
121views Database» more  VLDB 1995»
15 years 1 months ago
Benchmarking Spatial Join Operations with Spatial Output
The spatial join operation is benchmarked using variants of well-known spatial data structures such as the R-tree, R-tree, R+-tree, and the PMR quadtree. The focus is on a spatia...
Erik G. Hoel, Hanan Samet
DANTE
1999
IEEE
149views Database» more  DANTE 1999»
15 years 2 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
99
Voted
CIKM
2006
Springer
15 years 1 months ago
Efficient join processing over uncertain data
In an uncertain database, each data item is modeled as a range associated with a probability density function. Previous works for this kind of data have focussed on simple queries...
Reynold Cheng, Sarvjeet Singh, Sunil Prabhakar, Ra...
VLDB
1989
ACM
104views Database» more  VLDB 1989»
15 years 1 months ago
Event-Join Optimization in Temporal Relational Databases
An Event-Join combinestemporaljoin and outerjoin properties into a single operation. It is mostly used to group temporal attributes of an entity into a single relation. In this pa...
Arie Segev, Himawan Gunadhi