• DocumentCode
    2210730
  • Title

    Mobility, Data Mining and Privacy Understanding Human Movement Patterns from Trajectory Data

  • Author

    Giannotti, Fosca

  • Author_Institution
    KDD Lab., ISTI-CNR, Pisa, Italy
  • Volume
    1
  • fYear
    2011
  • fDate
    6-9 June 2011
  • Firstpage
    4
  • Lastpage
    5
  • Abstract
    The technologies of mobile communications and ubiquitous computing pervade our society, and wireless net works sense the movement of people and vehicles, generating large volumes of mobility data. This is a scenario of great opportunities and risks. On one side, mining this data can produce useful knowledge. On the other side, individual privacy is at risk, as the mobility data contain sensitive personal information.
  • Keywords
    data mining; data privacy; mobile computing; data mining; data privacy; human movement patterns; mobile communications; mobility; trajectory data; ubiquitous computing; wireless networks; Data privacy; Databases; Europe; Global Positioning System; Humans; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Data Management (MDM), 2011 12th IEEE International Conference on
  • Conference_Location
    Lulea
  • Print_ISBN
    978-1-4577-0581-6
  • Electronic_ISBN
    978-0-7695-4436-6
  • Type

    conf

  • DOI
    10.1109/MDM.2011.103
  • Filename
    6068414