The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Crime data mining: a general framework and some examples
Abstract
A major challenge facing all law-enforcement and intelligence-gathering organizations is accurately and efficiently analyzing the growing volumes of crime data. Detecting cybercrime can likewise be difficult because busy network traffic and frequent online transactions generate large amounts of data, only a small portion of which relates to illegal activities. Data mining is a powerful tool that enables criminal investigators who may lack extensive training as data analysts to explore large databases quickly and efficiently. We present a general framework for crime data mining that draws on experience gained with the Coplink project, which researchers at the University of Arizona have been conducting in collaboration with the Tucson and Phoenix police departments since 1997.
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Cites
Social Network Analysis: Methods and Applications
Wasserman, S., & Faust, K. (1994) · doi:10.1017/cbo9780511815478 · Cited by 17,557
Cited by
Wang, W., & Siau, K. (2019) · Journal of Database Management · doi:10.4018/jdm.2019010104 · Cited by 452
Gotcha! Network-based fraud detection for social security fraud
Van Vlasselaer, V., Eliassi-Rad, T., Akoglu, L., Snoeck, M., & Baesens, B. (2017) · Management Science · doi:10.1287/mnsc.2016.2489 · Cited by 164
Haque, M. R., Weathington, K., & Guha, S. (2019) · Companion Publication of the 2019 Conference on Computer Supported Cooperative Work and Social Computing · doi:10.1145/3311957.3359500 · Cited by 7
Metadata
- Authors
- Chen, H., Chung, W., Xu, J. J., Wang, G., Qin, Y., & Chau, M.
- Venue
- Computer
- Published
- 2004-04
- Volume
- 37
- Issue
- 4
- Pages
- 50-56
- ISSN
- 0018-9162 (ISSN-L)
- OpenAlex
- W2162357792
- Cited by
- 542
- References
- 1
- FWCI
- 45.51
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Crime data mining: a general framework and some examples. https://app.cochat.ai/papers/10.1109/mc.2004.1297301
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- Chen, H., Chung, W., Xu, J. J., Wang, G., Qin, Y., & Chau, M. (2004). Crime data mining: a general framework and some examples. Computer. https://doi.org/10.1109/mc.2004.1297301
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
