Synthetic Financial Transaction Data Generation Using Lightweight GAN  Models

Adarsh Naidu

Synthetic Financial Transaction Data Generation Using Lightweight GAN Models

Authors

Adarsh Naidu

Keywords:

Abstract

The rapid digitalization of financial services has led to an unprecedented growth in transactionaldata, which serves as a critical foundation for applications such as fraud detection, credit risk assessment, customer behavior modeling

References

L. J. McKenna et al., “Evaluating the privacy and utility of synthetic data,” Proc. Privacy Enhancing Technologies, 2019.

Downloads

Published

2024-05-20

How to Cite

Adarsh Naidu. (2024). Synthetic Financial Transaction Data Generation Using Lightweight GAN Models. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3689–3702. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/5180