MobileMiner: A Real World Case Study of Data Mining in Mobile Communication

被引:0
|
作者
Wang, Tengjiao [1 ]
Yang, Bishan [1 ]
Gao, Jun [1 ]
Yang, Dongqing [1 ]
Tang, Shiwei [1 ]
Wu, Haoyu [1 ]
Liu, Kedong [1 ]
Pei, Jian
机构
[1] Peking Univ, Minist Educ, Key Lab High Confidence Software Technol, Beijing, Peoples R China
关键词
Mobile communication data; data stream mining; sequence clustering; community discovery;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Mobile communication data analysis has been often used as a background application to motivate many data mining problems. However, very few data mining researchers have a chance to see a working data mining system on real mobile communication data. In this demo, we showcase our new system MOBILEMINER on a real mobile communication data set, which presents a case study of business solutions using state-of-the-art data mining techniques. MOBILEMINER adaptively profiles users' behavior from,their calling and moving record streams. Customer segmentation and social community analysis can be conducted based on user profiles. We show how data mining techniques can help in mobile communication data analysis. Moreover, we also show some interesting observations which still cannot be mined by the current techniques, and thus may motivate new research and development.
引用
收藏
页码:1083 / 1085
页数:3
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