Mining Mobility Behavior from Trajectory Data

  • Authors:
  • Fosca Giannotti;Mirco Nanni;Dino Pedreschi;Chiara Renso;Roberto Trasarti

  • Affiliations:
  • -;-;-;-;-

  • Venue:
  • CSE '09 Proceedings of the 2009 International Conference on Computational Science and Engineering - Volume 04
  • Year:
  • 2009

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Abstract

The technologies of mobile communications and ubiquitous computing pervade our society, and wireless networks sense the movement of people and vehicles, generating large volumes of mobility data: location data from mobile phones, GPS tracks from mobile devices receiving geo-positions from satellites, etc. The GeoPKDD project, a large European research initiative, has studied how to discover useful knowledge about human movement behavior from mobility data, while preserving the privacy of the people under observation. A new exciting multidisciplinary research area has thus started, at the crossroads of mobility, data mining, and privacy.