Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9651027 | Information Sciences | 2005 | 20 Pages |
Abstract
In this paper we present a new method to efficiently process the approximate answers for future location-based query predicates on demand by using spatiotemporal histograms. Based on the concepts of entropy and marginal distribution, we build spatiotemporal histograms for the movement parameters, which result in the avoidance of reconstructing histograms. Using spatiotemporal histograms, the approximate future query processing can be achieved efficiently. In addition, we clarify and evaluate our proposed method with several experiments.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Hyun Kyoo Park, Jin Hyun Son, Myoung Ho Kim,