Title :
Analysis of Different Clustering Approaches for Grouping Users on the Basis of GSM Call Logs
Author :
Deshpande, S.S. ; Chauhan, N.A.
Author_Institution :
Dept. of C.S.E., G.H.R.C.E., Nagpur, India
Abstract :
Analysis of Location-aware data plays an important role in pervasive and mobile computing. In cellular systems (e.g., GSM) the serving cell is easily available as an indication of the user location, without any additional hardware or network services. With this location data and other context variables groups of mobile users who are advertised to the found together can be traced. 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 :
cellular radio; fraud; mobile computing; mobility management (mobile radio); pattern clustering; security of data; telecommunication computing; telecommunication security; GSM call logs; cellular system; clustering approach; fraud detection; location-aware data; mobile communication network; mobile computing; mobile users; mobility prediction; pervasive computing; serving cell; social group discovery; user context discovery; user grouping; user location; Base stations; Context; GSM; Mobile communication; Mobile computing; Mobile handsets; Prediction algorithms; Affinity Model; Block Crediting; Model Formulation; Velocity trap;
Conference_Titel :
Communication Systems and Network Technologies (CSNT), 2011 International Conference on
Conference_Location :
Katra, Jammu
Print_ISBN :
978-1-4577-0543-4
Electronic_ISBN :
978-0-7695-4437-3
DOI :
10.1109/CSNT.2011.162
