A curated list of data mining papers about fraud detection.

Fraud Detection model based on anonymized credit card transactions

Credit Card Fraud Detection

Credit Card Fraud Detection Project with Code and Documents

Implementation of an intelligence system to detect the fraud cases on the basis of classification.

This is an Online Transaction Fraud Detection System (FDS) to detect payment frauds. Made using Django.

Comparison b/w Federated Learning & Split Learning for credit card fraud detection dataset using Pytorch

Credit card fraud is a significant problem, with billions of dollars lost each year. Machine learning can be used to detect credit card fraud by identifying patterns that are indicative of fraudulent transactions. Credit card fraud refers to the physical loss of a credit card or the loss of sensitive credit card information.

Bank card fraud detection using machine learning. Web application using Streamlit framework

Full Stack Credit Card Fraud Detection Using Machine Learning with Code and Documents Plus Youtube Explanation Video

Credit Card Fraud Detection using Logistic Regression on credit card dataset

Credit Card Fraud Detection using Neural Networks (Keras)

Simple credit card verification built with C++

Anomaly detection analysis project in a credit card fraud detection with real anonymous data info from Kaggle

Enhanced Credit Card Fraud Detection using Graph Neural Networks

Credit - CS50 - PYTHON

Credit Card Fraud Detection using Logistic Regression

Credit Fraud Detection for the course project for the master's degree in Software and Systems Engineering.

The project is to recognize fraudulent credit transactions. You only need to put the dataset and model will detect the fraudulent credit transactions.