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Spatio-temporal join selectivity

delete2006-12-01
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OA
AI
J
Jimeng Sun
Y
Yufei Tao
G
George Kollios
DOI:10.1016/j.is.2005.02.002delete
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Abstract

Abstract

En 中文
Given two sets S-1, S-2 of moving objects, a future timestamp t(q), and a distance threshold d, a spatio-temporal join retrieves all pairs of objects that are within distance d at t(q). The selectivity of a join equals the number of retrieved pairs divided by the cardinality of the Cartesian product S-1 X S-2. This paper develops a model for spatio-temporal join selectivity estimation based on rigorous probabilistic analysis, and reveals the factors that affect the selectivity. Initially, we solve the problem for ID (point and rectangle) objects whose location and velocities distribute uniformly, and then extend the results to multi-dimensional spaces. Finally, we deal with non-uniform distributions using a specialized spatio-temporal histogram. Extensive experiments confirm that the proposed formulae are highly accurate (average error below 10%). (c) 2005 Elsevier B.V. All rights reserved.
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Journal

Enterprise Information Systems cover
Enterprise Information Systems
IF:
3.9
Papers:
2.8K
Citations:
1.8K

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