zixi-liu/Fraud-Detection-Papers
Learning Fraud Detection from research papers and industry applications.
This project is a curated collection of research papers and industry applications focused on fraud detection. It helps fraud analysts and risk managers understand the latest techniques and models for identifying fraudulent activities by providing comprehensive resources. The project brings together academic research and practical examples to improve fraud prevention strategies.
143 stars. No commits in the last 6 months.
Use this if you are a fraud analyst, risk manager, or data scientist needing to research and implement advanced fraud detection models for your organization.
Not ideal if you are looking for ready-to-use software or a plug-and-play tool for immediate fraud detection.
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Jupyter Notebook
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Last pushed
Dec 12, 2024
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