An intelligent payment card fraud detection system
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management Science and Operations Research,General Decision Sciences
Link
https://link.springer.com/content/pdf/10.1007/s10479-021-04149-2.pdf
Reference46 articles.
1. Ameur, B., & Prigent, J. L. (2018). Risk management of time varying floors for dynamic portfolio insurance. European Journal of Operational Research, 269, 363–381.
2. Bahnsen, A. C., Aouada, D., Stojanovic, A., & Ottersten, B. (2016). Feature engineering strategies for credit card fraud detection. Expert Systems with Applications, 51, 134–142.
3. Ben Ameur, H., Ftiti, Z., Jawadi, F., & Louhichi, W. (2020). Measuring extreme risk dependence between the oil and gas markets. Annals of Operations Research. https://doi.org/10.1007/s10479-020-03796-1
4. Ben Ameur, H., Jawadi, F., Idi Cheffou, A., & Louhichi, W. (2018). Measurement errors in stock markets. Annals of Operations Research, 262, 287–306.
5. Bernard, P., De Freitas, N. E. M., & Maillet, B. B. (2019). A financial fraud detection indicator for investors: an IDeA. Annals of Operations Research. https://doi.org/10.1007/s10479-019-03360-6
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