A curated list of data mining papers about fraud detection.

• UpdatedMar 16, 2024
• Python

Fraud Detection model based on anonymized credit card transactions

• UpdatedOct 11, 2022
• Jupyter Notebook

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.

• UpdatedFeb 7, 2024
• Jupyter Notebook

Credit Card Fraud Detection Project with Code and Documents

• UpdatedMay 14, 2023
• Jupyter Notebook

Credit Card Fraud Detection

• UpdatedApr 22, 2024
• Jupyter Notebook

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

• UpdatedJun 12, 2021
• Python

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

• UpdatedJul 21, 2024
• JavaScript

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

• UpdatedOct 7, 2021
• Jupyter Notebook

• UpdatedApr 9, 2025

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

• UpdatedJun 26, 2024
• Python

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

• UpdatedMay 14, 2023
• Jupyter Notebook

Credit Card Fraud Detection using Logistic Regression on credit card dataset

• UpdatedFeb 28, 2023
• Jupyter Notebook

Credit Card Fraud Detection using Machine Learning, I have undertaken the task of developing a robust system to identify fraudulent credit card transactions.

• UpdatedJun 10, 2023
• Jupyter Notebook

[TAAI'21] Locally Interpretable One-Class Anomaly Detection for Credit Card Fraud Detection

• UpdatedFeb 3, 2025
• Jupyter Notebook

Enhanced Credit Card Fraud Detection using Graph Neural Networks

• UpdatedFeb 4, 2025
• Python

This project aims to detect credit card fraud using Anamoly detection techniques such as Isolation Forest and Local Outlier Factor algorithms.

• UpdatedJan 5, 2022
• Jupyter Notebook

Validates popular debit and credit cards numbers against regular expressions and Luhn algorithm. Also validates the CVC and the expiration date.

• UpdatedSep 26, 2024
• PHP

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

• UpdatedJan 24, 2023
• Jupyter Notebook

Credit Card Fraud Detection using Neural Networks (Keras)

• UpdatedFeb 2, 2019
• Jupyter Notebook

Simple credit card verification built with C++

• UpdatedSep 2, 2022
• C++