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2007
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Dynamic Modeling of Trajectory Patterns using Data Mining and Reverse Engineering

9 years 4 months ago
Dynamic Modeling of Trajectory Patterns using Data Mining and Reverse Engineering
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. We claim that meaningful patterns can only be extracted from trajectories if the geographic space where trajectories are located is considered. In this paper we propose 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. Therefore, we apply data mining to extract general trajectory patterns, and through a new kind of relationships, we model these patterns in the geographic database schema. A case study shows the power of the framework for modeling semantic trajectory patterns in ...
Luis Otávio Alvares, Vania Bogorny, Jos&eac
Added 07 Jun 2010
Updated 07 Jun 2010
Type Conference
Year 2007
Where ER
Authors Luis Otávio Alvares, Vania Bogorny, José Antônio Fernandes de Macêdo, Bart Moelans, Stefano Spaccapietra
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