Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach

Enhanced framework for credit card fraud detection using robust feature selection and a stacking ensemble model approach

Credit card fraud is an emerging global issue that causes substantial financial losses and undermines consumer trust in digital transactions. With the increase in online payment volumes, conventional fraud detection technologies are increasingly confronted by the complexity of fraudulent strategies...

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Bibliographic Details
Main Authors: Rahul Kumar Gupta, Asmaul Hassan, Samir Kumar Majhi, Nikhat Parveen, Abu Taha Zamani, Raju Anitha, Binayak Ojha, Abhinav Kumar Singh, Debendra Muduli
Format: Article
Language:English
Published: Elsevier 2025-06-01
Series:Results in Engineering
Subjects:
Credit card fraud detection
SMOTE-ENN
Autoencoder
TOPSIS
Ensemble learning
Particle swarm optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2590123025011594
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