Machine Learning System for Fraud Detection. A Methodological Approach for a Development Platform

Author:

El Hajjami Salma,Malki Jamal,Berrada Mohammed,Mostafa Harti,Bouju Alain

Publisher

Springer International Publishing

Reference15 articles.

1. Hajjami SE, Malki J, Berrada M, Bouziane F (2020) Machine learning for anomaly detection. Performance study considering anomaly distribution in an imbalanced dataset. In: Cloudtech 2020. IEEE

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3. Dal Pozzolo A, Caelen O, Le Borgne YA, Waterschoot S (2014) Bontempi G (2014) Learned lessons in credit card fraud detection from a practitioner perspective. Expert Syst Appl 41(10):4915–4928

4. Maes S, Tuyls K, Vanschoenwinkel B, Manderick B (2002) Credit card fraud detection using Bayesian and neural networks. In: Proceedings of the 1st international Naiso congress on neuro fuzzy technologies, pp 261–270

5. Şahin YG, Duman E (2011) Detecting credit card fraud by decision trees and support vector machines

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