• DocumentCode
    3205368
  • Title

    Finding user groups on the basis of GSM logs - a survey

  • Author

    Deshpande, S.S. ; Dharaskar, R.V.

  • Author_Institution
    Dept. of Comput. Applic., S.R.K.N.E.C., Nagpur, India
  • fYear
    2010
  • fDate
    8-10 Oct. 2010
  • Firstpage
    444
  • Lastpage
    447
  • 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. Miniaturization, wearability, pervasiveness of mobile devices are producing traces of our mobile activity, with increasing positioning accuracy and semantic richness: location data from mobile phones (Global System for Mobile Communications: GSM cell positions), Geographic Positioning System (GPS) tracks from mobile devices receiving geo-positions from satellites, etc. The objective of this paper is to review the works carried out by different group of researchers using varied techniques in Discovering User context, Mobility Prediction of Mobile users, Discovering social groups, Fraud detection in mobile communications networks etc.
  • Keywords
    Global Positioning System; cellular radio; telecommunication security; GPS; GSM logs; discovering user context; fraud detection; geographic positioning system; mobile communications networks; mobile devices; mobile phones; mobility data; mobility prediction; ubiquitous computing; wireless networks; Computers; Context; Data models; GSM; Mobile communication; Mobile handsets; Prediction algorithms; Affinity Model; Block Crediting; Model Formulation; Velocity trap;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Information Systems and Industrial Management Applications (CISIM), 2010 International Conference on
  • Conference_Location
    Krackow
  • Print_ISBN
    978-1-4244-7817-0
  • Type

    conf

  • DOI
    10.1109/CISIM.2010.5643500
  • Filename
    5643500