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• W15051100 abstract "With the recent progress of spatial information technologies and mobile computing technologies, spatio-temporal databases which store information on moving objects including vehicles and mobile users have gained a lot of research in- terests. In this paper, we propose an algorithm to extract mobility statistics from indexed spatio-temporal datasets for the interactive analysis of huge collections of moving object trajectories. We focus on a mobility statistics value called the Markov transition probability, which is based on a cell-based organization of a target space and the Markov chain model. The pro- posed algorithm efficiently computes the specified Markov transition probabilities with the help of a spatial index R-tree. We reduce the statistics computation task to a kind of constraint satisfaction problem that uses a spatial index, and utilize internal" @default.
• W15051100 created "2016-06-24" @default.
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• W15051100 date "2004-01-01" @default.
• W15051100 modified "2023-09-27" @default.
• W15051100 title "Extracting Mobility Statistics from Indexed Spatio-Temporal Datasets" @default.
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