A hybrid model based on variational autoencoders and PCA for credit card fraud detection
Credit card fraud detection poses a significant challenge due to extreme data imbalance, where fraudulent transactions represent less than 0.2% of the total. This study propo ses a hybrid approach that combines a Variational Autoencoder (VAE) for unsupervised feature learning, Principal Component An...
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| Autor principal: | |
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| Format: | masterThesis |
| Publicat: |
2025
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| Matèries: | |
| Accés en línia: | https://repositorio.yachaytech.edu.ec/handle/123456789/1043 |
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