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...

• Главный автор: Caicedo García, Kevin Omar (author)
• Формат: masterThesis
• Опубликовано: 2025
• Предметы: Detección de Fraudes; Autoencodificador Variacional; Desbalance de Clases; Fraud detection; Variational autoencoder; Class Imbalance
• Online-ссылка: https://repositorio.yachaytech.edu.ec/handle/123456789/1043