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» Joining Interval Data in Relational Databases
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SIGMOD
2004
ACM
143views Database» more  SIGMOD 2004»
14 years 4 months ago
Joining Interval Data in Relational Databases
The increasing use of temporal and spatial data in presentday relational systems necessitates an efficient support of joins on interval-valued attributes. Standard join algorithms...
Jost Enderle, Matthias Hampel, Thomas Seidl
VLDB
1994
ACM
91views Database» more  VLDB 1994»
13 years 8 months ago
On Spatially Partitioned Temporal Join
This paper presents an innovative partitionbased time join strategy for temporal databases where time is represented by time intervals. The proposed method maps time intervals to ...
Hongjun Lu, Beng Chin Ooi, Kian-Lee Tan
DEXA
2006
Springer
151views Database» more  DEXA 2006»
13 years 6 months ago
An Incremental Refining Spatial Join Algorithm for Estimating Query Results in GIS
Geographic information systems (GIS) must support large georeferenced data sets. Due to the size of these data sets finding exact answers to spatial queries can be very time consum...
Wan D. Bae, Shayma Alkobaisi, Scott T. Leutenegger
ICDE
2002
IEEE
138views Database» more  ICDE 2002»
14 years 5 months ago
Efficient Temporal Join Processing Using Indices
We examine the problem of processing temporal joins in the presence of indexing schemes. Previous work on temporal joins has concentrated on non-indexed relations which were fully...
Donghui Zhang, Vassilis J. Tsotras, Bernhard Seege...
NGITS
1997
Springer
13 years 8 months ago
Faster Joins, Self Joins and Multi-Way Joins Using Join Indices
We propose a new algorithm, called Stripe-join, for performing a join given a join index. Stripe-join is inspired by an algorithm called \Jive-join" developed by Li and Ross....
Hui Lei, Kenneth A. Ross