DB-SMoT: A direction-based spatio-temporal clustering method | IEEE Conference Publication | IEEE Xplore

DB-SMoT: A direction-based spatio-temporal clustering method


Abstract:

Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the...Show More

Abstract:

Existing works for semantic trajectory data analysis have focused on the intersection of trajectories with application important geographic information and the use of the speed to find interesting places. In this paper we present a novel approach to find interesting places in trajectories, considering the variation of the direction as the main aspect. The proposed approach has been validated with real trajectory data associated to oceanic fishing vessels, with the objective to automatically find the real places where vessels develop fishing activities. Results have demonstrated that the method is very appropriate for applications in which the direction variation plays the essential role.
Date of Conference: 07-09 July 2010
Date Added to IEEE Xplore: 16 August 2010
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Conference Location: London, UK

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