A hybrid model based on variational autoencoders and PCA for credit card fraud detection

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...

Full description

Saved in:
Bibliographic Details
Main Author: Caicedo García, Kevin Omar (author)
Format: masterThesis
Published: 2025
Subjects:
Detección de Fraudes
Autoencodificador Variacional
Desbalance de Clases
Fraud detection
Variational autoencoder
Class Imbalance
Online Access:https://repositorio.yachaytech.edu.ec/handle/123456789/1043
Tags: Add Tag
No Tags, Be the first to tag this record!
Be the first to leave a comment!
You must be logged in first

Similar Items