Community mining from multi-relational networks
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Exploring regression for mining user moving patterns in a mobile computing system
HPCC'05 Proceedings of the First international conference on High Performance Computing and Communications
Social networks identification and analysis using call detail records
Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
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In a telecommunication system, call detail records (i.e., CDRs) are generated automatically for tracking and billing purposes when mobile users having calls. To further investigate the information buried in huge amounts of CDRs, relationship among mobile users can be organized. Specifically, communities of acquainted mobile users can be effectively discovered from collected CDRs through our approach proposed in this paper. Note that understanding the communities and corresponding calling behaviors are of great importance to telecommunication companies. To conduct proper community mining on CDRs, techniques of data transformation and social network analysis are fully exploited. Our study shows that the proposed approach is practically feasible.