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Evaluation of probabilistic queries in moving objects databases
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Source International Workshop on Data Engineering for Wireless and Mobile Access archive
Proceedings of the 5th ACM international workshop on Data engineering for wireless and mobile access table of contents
Chicago, Illinois, USA
SESSION: Moving objects table of contents
Pages: 11 - 18  
Year of Publication: 2006
ISBN:1-59593-436-7
Authors
Talel Abdessalem  Ecole Nationale Supérieure des Télécommunications, Paris, France
Laurent Decreusefond  Ecole Nationale Supérieure des Télécommunications, Paris, France
José Moreira  Universidade de Aveiro, Aveiro, Portugal
Sponsors
ACM: Association for Computing Machinery
SIGMOD: ACM Special Interest Group on Management of Data
Publisher
ACM  New York, NY, USA
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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.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Talel Abdessalem: colleagues
Laurent Decreusefond: colleagues
José Moreira: colleagues