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Overview:

The constant increase of moving object data imposes the need for modeling, processing, and mining trajectories, in order to find and understand the patterns behind these data. Existing works have mainly focused on the geometric properties of trajectories, while the semantics and the background geographic information has rarely been addressed. The paper claims that meaningful patterns can only be extracted from trajectories if the geographic space where trajectories are located is considered. This paper proposes a reverse engineering framework for mining and modeling semantic trajectory patterns. Since trajectory patterns are data dependent, they may not be modeled in conceptual geographic database schemas before they are known.

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Format:PDFSize:347 KB
Date:Oct 2007
Pages:6

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