• DocumentCode
    1733040
  • Title

    Mining Mobility Behavior from Trajectory Data

  • Author

    Giannotti, Fosca ; Nanni, Mirco ; Pedreschi, Dino ; Renso, Chiara ; Trasarti, Roberto

  • Author_Institution
    KDD Lab., Univ. Pisa, Pisa, Italy
  • Volume
    4
  • fYear
    2009
  • Firstpage
    948
  • Lastpage
    951
  • 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.
  • Keywords
    behavioural sciences computing; data mining; mobile computing; mobility management (mobile radio); GeoPKDD project; data mining; mobile communication; mobility behavior mining; mobility data; trajectory data; ubiquitous computing; wireless networks; Communications technology; Data privacy; Global Positioning System; Mobile communication; Mobile computing; Mobile handsets; Tracking; Ubiquitous computing; Vehicles; Wireless networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Science and Engineering, 2009. CSE '09. International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-5334-4
  • Electronic_ISBN
    978-0-7695-3823-5
  • Type

    conf

  • DOI
    10.1109/CSE.2009.542
  • Filename
    5282986