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A Comprehensive Survey of Data Mining-based Fraud Detection Research



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Phua, Clifton, et al. A Comprehensive Survey of Data Mining-Based Fraud Detection Research. 2013, 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, Grant 17-45463. 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. Privacy policy

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