A credit card fraud detection approach based on ensemble machine learning classifier with hybrid data sampling
The existing fraud detection methods present limitations such as imbalanced data, incorrect identification of fraudulent cases, limited applicability to different scenarios, and difficulties processing data in real-time. This paper proposes an ensemble machine-learning model for detecting fraud in c...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-06-01
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| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827025000581 |
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