Applications of Machine Learning in Fintech Credit Card Fraud Detection

Fintech utilizes innovative technology to offer improved monetary administrations and financial solutions. According to data from the prediction of Autonomous Research artificial intelligence (AI) technologies will allow financial institutions to reduce their operational costs by 22% by 2030. Throughout this paper, we study how AI and machine learning algorithms can lead to credit card fraud detection. After making the theoretical approach to the subject, we develop two different methods Autoencoder (semi-supervised learning) and Logistic Regression (supervised learning) for fraud detection with a high level of accuracy. The results obtained with both methods are promising as we were able to predict fraud transactions with 94% certainty.

PDF
No code implementations yet. Submit your code now

Datasets


  Add Datasets introduced or used in this paper

Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.

Methods


No methods listed for this paper. Add relevant methods here