Efficient processing of probabilistic spatio-temporal range queries over moving objects

Bruce S.E. Chung, Wang-chien Lee, Arbee L.P. Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Range queries for querying the current and future positions of the moving objects have received growing interests in the research community. Existing methods, however, assume that an object only moves along an anticipated path. In this paper, we study the problem of answering probabilistic range queries on moving objects based on an uncertainty model, which captures the possible movements of objects with probabilities. We conduct a performance study, which shows our proposal significantly reduces the number of object examinations and the overall cost of the query evaluation.

Original languageEnglish (US)
Title of host publicationProceedings of the 17th ACM Conference on Information and Knowledge Management, CIKM'08
Pages1399-1400
Number of pages2
DOIs
StatePublished - Dec 1 2008
Event17th ACM Conference on Information and Knowledge Management, CIKM'08 - Napa Valley, CA, United States
Duration: Oct 26 2008Oct 30 2008

Publication series

NameInternational Conference on Information and Knowledge Management, Proceedings

Other

Other17th ACM Conference on Information and Knowledge Management, CIKM'08
CountryUnited States
CityNapa Valley, CA
Period10/26/0810/30/08

All Science Journal Classification (ASJC) codes

  • Decision Sciences(all)
  • Business, Management and Accounting(all)

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