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ICDE
2004
IEEE

Querying about the Past, the Present, and the Future in Spatio-Temporal

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Querying about the Past, the Present, and the Future in Spatio-Temporal
Moving objects (e.g., vehicles in road networks) continuously generate large amounts of spatio-temporal information in the form of data streams. Efficient management of such streams is a challenging goal due to the highly dynamic nature of the data and the need for fast, on-line computations. In this paper we present a novel approach for approximate query processing about the present, past, or the future in spatio-temporal databases. In particular, we first propose an incrementally updateable, multi-dimensional histogram for present-time queries. Second, we develop a general architecture for maintaining and querying historical data. Third, we implement a stochastic approach for predicting the results of queries that refer to the future. Finally, we experimentally prove the effectiveness and efficiency of our techniques using a realistic simulation.
Jimeng Sun, Dimitris Papadias, Yufei Tao, Bin Liu
Added 01 Nov 2009
Updated 01 Nov 2009
Type Conference
Year 2004
Where ICDE
Authors Jimeng Sun, Dimitris Papadias, Yufei Tao, Bin Liu
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