Mining communities of acquainted mobile users on call detail records

Wei-Guang Teng, Ming Chia Chou

研究成果: Conference contribution

9 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題Proceedings of the 2007 ACM Symposium on Applied Computing
發行者Association for Computing Machinery
頁面957-958
頁數2
ISBN(列印)1595934804, 9781595934802
DOIs
出版狀態Published - 2007 一月 1
事件2007 ACM Symposium on Applied Computing - Seoul, Korea, Republic of
持續時間: 2007 三月 112007 三月 15

出版系列

名字Proceedings of the ACM Symposium on Applied Computing

Other

Other2007 ACM Symposium on Applied Computing
國家Korea, Republic of
城市Seoul
期間07-03-1107-03-15

All Science Journal Classification (ASJC) codes

  • Software

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  • 引用此

    Teng, W-G., & Chou, M. C. (2007). Mining communities of acquainted mobile users on call detail records. 於 Proceedings of the 2007 ACM Symposium on Applied Computing (頁 957-958). (Proceedings of the ACM Symposium on Applied Computing). Association for Computing Machinery. https://doi.org/10.1145/1244002.1244212