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A Comprehensive Survey of Data Mining-based Fraud Detection Research

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Phua, C., Lee, V., Smith, K., & Gayler, R. (2013). A Comprehensive Survey of Data Mining-based Fraud Detection Research. https://arxiv.org/ftp/arxiv/papers/1009/1009.6119.pdf
Author
Clifton Phua
Vincent Lee
Kate Smith
Ross Gayler
Keywords
Data mining applications
automated fraud detection
adversarial detection
Year of Publication
2013
URL
https://arxiv.org/ftp/arxiv/papers/1009/1009.6119.pdf
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This work was partially supported by a grant from the US National Science Foundation Socio-computational Systems (SOCS) program, Grant 11–11107. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.

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