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This paper has been withdrawn by the authors. Mobility profile buildingbecame extensively examined area in Location based services (LBS) throughextraction of significant locations. Mobility traces are recorded under threereference positioning systems that are Satellite based i.e. GPS, Network basedi.e. GSM and Local positioning i.e. WLAN, RFID, IrDA. Satellite based and localpositioning due to of high power consumption, additional resource installation,low accuracy and space limitation are less encouraging. So network basedpositioning i.e. GSM is only viable solution for mobility tracing through Cellglobal identity (CGI). CGI presents the Cell-ids to extract the significantlocations from mobility history. However CGI faces cell oscillation problem,where user is assigned multiple Cell-Ids even at a stationary state for loadbalancing and GSM cells overlapping. In this paper we proposed twosemi-supervised methodology for cell oscillation resolution i.e. semantictagging and overlapped area clustering, the proposed methodologies are equallyuseful for the identification of significant places too.

Cell Oscillation Resolution in Mobility Profile Building