Of motifs and goals: mining trajectory data

  • Authors:
  • Joachim Gudmundsson;Andreas Thom;Jan Vahrenhold

  • Affiliations:
  • University of Sydney, NSW, Australia;University of Münster, Münster, Germany;University of Münster, Münster, Germany

  • Venue:
  • Proceedings of the 20th International Conference on Advances in Geographic Information Systems
  • Year:
  • 2012

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Abstract

In response to the increasing volume of trajectory data obtained, e.g., from tracking athletes, animals, or meteorological phenomena, we present a new space-efficient algorithm for the analysis of trajectory data. The algorithm combines techniques from computational geometry, data mining, and string processing and offers a modular design that allows for a user-guided exploration of trajectory data incorporating domain-specific constraints and objectives.