Mingqi Lv
ABSTRACT
Existing trajectory pattern mining techniques work based on the prerequisite that the trajectory data contain explicit location information. However, it is difficult to collect such trajectory data from mobile phone users due to the high cost of continuously pinpointing the mobile phones' explicit locations. In this poster, we propose a method for mining trajectory patterns from cell-id trajectory data without explicit location information by exploiting handoff features. Experiment results based on real datasets have demonstrated the effectiveness of the proposed method.
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Digital Library
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- Bayir, M.A., Demirbas, M., and Eagle, N. Mobility profiler: A framework for discovering mobility profiles of cell phone users. Pervasive and Mobile Computing 6, 4 (2010), 435--454. Google ScholarDigital Library
- Chen, L., Lv, M., and Chen, G. A system for destination and future route prediction based on trajectory mining. Pervasive and Mobile Computing 6 (2010), 657--676. Google ScholarDigital Library
Index Terms
- Mining cell-id trajectory patterns by exploiting handoff features
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