Weston, David J. and Hand, D.J. and Adams, N.M. and Whitrow, C. and Juszczak, P. (2008) Plastic card fraud detection using peer group analysis. Advances in Data Analysis and Classification 2 (1), pp. 45-62. ISSN 1862-5347.
Abstract
Peer group analysis is an unsupervised method for monitoring behaviour over time. In the context of plastic card fraud detection, this technique can be used to find anomalous transactions. These are transactions that deviate strongly from their peer group and are flagged as potentially fraudulent. Time alignment, the quality of the peer groups and the timeliness of assigning fraud flags to transactions are described. We demonstrate the ability to detect fraud using peer groups with real credit card transaction data and define a novel method for evaluating performance.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | fraud detection, outlier detection, peer groups |
| School: | Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 02 Aug 2013 13:48 |
| Last Modified: | 09 Aug 2023 12:34 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/7963 |
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