Evaluation of probabilistic queries in moving objects databases

Talel Abdessalem, Laurent Decreusefond, José Moreira

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The representation of moving objects in spatial database systems has become an important research topic in recent years. As it is not realistic to track and store the location of objects at every time instant, one of the issues in this domain has to do with handling uncertainty in the location of moving objects. In this paper, we propose three statistical methods for computing probabilistic estimates about the location of a moving object at a certain time and show how to use them for evaluating probabilistic range queries. The focus is on applications dealing with the spatiotemporal behavior of non-network constrained moving objects, for monitoring or data-mining purposes, for instance.

Original languageEnglish
Title of host publicationMobiDE 2006
Subtitle of host publicationProceedings of the Fifth ACM International Workshop on Data Engineering for Wireless and Mobile Access
PublisherAssociation for Computing Machinery (ACM)
Pages11-18
Number of pages8
ISBN (Print)1595934367, 9781595934369
DOIs
Publication statusPublished - 1 Jan 2006
Externally publishedYes
EventMobiDE 2006: 5th ACM International Workshop on Data Engineering for Wireless and Mobile Access - Chicago, IL, United States
Duration: 25 Jun 200625 Jun 2006

Publication series

NameMobiDE 2006: Proceedings of the 5th ACM International Workshop on Data Engineering for Wireless and Mobile Access
Volume2006

Conference

ConferenceMobiDE 2006: 5th ACM International Workshop on Data Engineering for Wireless and Mobile Access
Country/TerritoryUnited States
CityChicago, IL
Period25/06/0625/06/06

Keywords

  • Moving objects
  • Spatio-temporal databases
  • Spatio-temporal uncertainty

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