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
Link To Document :
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