A curated list of data mining papers about fraud detection.

Fraud Detection model based on anonymized credit card transactions

Credit Card Fraud Detection

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.

Credit Card Fraud Detection using Neural Networks (Keras)

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

A comparative study among six different Machine- Learning models for their accuracy in predicting the target class as well as their accuracy for predicting the probability of an individual belonging to the predicted class from the perspective of risk management.

To solve two main issues in credit card fraud detection - skewness of the data and cost-sensitivity

Credit Card Fraud Detection using Logistic Regression on credit card dataset

Credit Card Fraud Detection model is developed to classify online transaction as either fradulent or genuine.

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

Fraud Detection

Credit Card Fraud Detection using Decision tree and Support vector machine.

For this project, I used four different classification algorithms to detect fraudulent credit card transactions.

The project focused on building a joint computational toolbox for credit card risk analysis. It consists of removing irrelevant attributes from dataset to get meaningful model while building decision trees from the possible subset or combination of attributes and further applying these pools of trees as an initial seed to Multi - Objective Evolu…

Identify fraudulent credit card transactions.