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    Plastic card fraud detection using peer group analysis

    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.

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    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 Schools and Departments > School of Business, Economics & Informatics > Computer Science and Information Systems
    Depositing User: Sarah Hall
    Date Deposited: 02 Aug 2013 13:48
    Last Modified: 02 Aug 2013 13:48
    URI: http://eprints.bbk.ac.uk/id/eprint/7963

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