Fraud-Detection-How-Machine-Learning-Systems-Help-Reveal-Scams-in-Fintech-Healthcare-and-eCommerce

Fraud Detection: How Machine Learning Systems Help Reveal Scams
in Fintech, Healthcare, and eCommerce
1. Machine Learning vs. Rule-Based Systems in Fraud Detection
2. Fraud Scenarios and Their Detection
2.1 Insurance Claims Analysis for Fraud Detection
2.2 Anti-Fraud Solutions for Medical Claims and Healthcare
2.3 Fraud Prevention Solutions in eСommerce
2.4 Fraud Detection in Banking and Credit Card Payments
2.5 Preventing Loan Application Fraud
2.6 Machine Learning for Anti-Money Laundering
3. Common and Advanced Fraud Detection Systems
3.1 Anomaly Detection to Reveal Suspicious Transactions
3.2 Advanced Fraud Detection Systems
4. Supervised Fraud Detection Methods
4.1 Random Forests
4.2 Support Vector Machine
4.3 K-Nearest Neighbors
4.4 Neural Networks and Deep Neural Networks
Final Word
Further Reading
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