Managing uncertainty in moving objects databases
ACM Transactions on Database Systems (TODS)
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IEEE Pervasive Computing
Processing Moving Queries over Moving Objects Using Motion-Adaptive Indexes
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Index for fast retrieval of uncertain spatial point data
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The TPR*-tree: an optimized spatio-temporal access method for predictive queries
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MDM '08 Proceedings of the The Ninth International Conference on Mobile Data Management
Probabilistic Inference over RFID Streams in Mobile Environments
ICDE '09 Proceedings of the 2009 IEEE International Conference on Data Engineering
Panda: a predictive spatio-temporal query processor
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Predictive spatio-temporal queries: a comprehensive survey and future directions
Proceedings of the First ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems
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Moving range query over RFID data streams is one of the most important spatio-temporal queries to support valuable information analysis. However, the location uncertainty challenges the query strategy. In this paper, we propose a probability evaluation model in the RFID-enabled monitoring environments and discuss the query optimization techniques under the scenarios of continuous moving range query, which can also be applied into more situations. The extensive experimental evaluation verifies the efficiency and effectiveness of our proposed model and methods.