MobileMiner: A Real World Case Study of Data Mining in Mobile Communication
Summary: Demo of MobileMiner: a real-world data mining system for mobile calling and moving records, a case study. Adaptive profiling enables segmentation and social-graph analysis on real data, exposing business insights and gaps in current techniques that spur new research. (summarized by gpt-5-nano on Feb 09 2026)
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Authors
- 1. Tengjiao Wang (Peking University)
- 2. Bishan Yang (Peking University)
- 3. Jun Gao (Peking University)
- 4. Dongqing Yang (Peking University)
- 5. Shiwei Tang (Peking University)
- 6. Haoyu Wu (Peking University)
- 7. Kedong Liu (Peking University)
- 8. Jian Pei (Simon Fraser University)
BibTeX Citation
@inproceedings{wang_sigmod09,
title = {{MobileMiner: A Real World Case Study of Data Mining in Mobile Communication}},
author = {Wang, Tengjiao and Yang, Bishan and Gao, Jun and Yang, Dongqing and Tang, Shiwei and Wu, Haoyu and Liu, Kedong and Pei, Jian},
series = {{SIGMOD} '09},
booktitle = {Proceedings of the {ACM} {SIGMOD} International Conference on Management of Data},
publisher = {Association for Computing Machinery},
doi = {10.1145/1559845.1559988},
url = {https://dl.acm.org/doi/10.1145/1559845.1559988},
year = {2009}
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