IEEE

Implementing Isolation Forest Anomaly Detection Into A Hybrid K-Means & K-NN Algorithm For Credit Card Fraud Detection

Abstract: The rise of electronic payment systems has made credit cards increasingly popular, leading to a growing number of fraudulent transactions. Rapid and accurate detection of these fraudulent ...
GitHub

gabriellucasknp/Detector-de-Anomalias-em-Transacoes

🔍 Detector de Anomalias em Transações Financeiras Projeto full-stack de análise de dados para detecção de anomalias em transações financeiras, usando Python, PySpark, Pandas, NumPy, MySQL e FastAPI, ...
GitHub

Prithvi829/UPI-Fraud-Detection-using-ML-Deep-Learning

# UPI Anomaly Detection System A real-time fraud detection system using Isolation Forest and Autoencoder models. ## Features - Anomaly detection on transactions - Real-time scoring API - Dashboard ...
IEEE

Application of Isolation Forest Algorithm in Fraud Detection of Medical Insurance Big Data

Abstract: In the context of medical insurance fund utilization, fraud remains a persistent issue, and the methods employed by fraudsters are becoming increasingly sophisticated. This has led to ...