An Efficient Real Time Model For Credit Card Fraud Detection Based On Deep Learning
Author:
Affiliation:
1. Ecole Normale Superieure (ENS), University Hassan II, Casablanca, Morocco
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3289402.3289530
Reference34 articles.
1. Tensorflow: a system for large-scale machine learning;Abadi Martín;OSDI,2016
2. CARDWATCH: a neural network based database mining system for credit card fraud detection
3. Corporate distress diagnosis: Comparisons using linear discriminant analysis and neural networks (the Italian experience)
4. Data mining for credit card fraud: A comparative study
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