Credit Card Fraud Detection Using Bayesian and Neural Networks (1993)
| Venue: | In: Maciunas RJ, editor. Interactive image-guided neurosurgery. American Association Neurological Surgeons |
| Citations: | 6 - 0 self |
BibTeX
@INPROCEEDINGS{Maes93creditcard,
author = {Sam Maes and Karl Tuyls and Bram Vanschoenwinkel and Bernard Manderick},
title = {Credit Card Fraud Detection Using Bayesian and Neural Networks},
booktitle = {In: Maciunas RJ, editor. Interactive image-guided neurosurgery. American Association Neurological Surgeons},
year = {1993},
pages = {261--270}
}
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Abstract
This paper discusses automated credit card fraud detection by means of machine learning. In an era of digitalization, credit card fraud detection is of great importance to financial institutions. We apply two machine learning techniques suited for reasoning under uncertainty: artificial neural networks and Bayesian belief networks to the problem and show their significant results on real world financial data. Finally, future directions are indicated to improve both techniques and results.
