Real-Time Fraud Detection in Cryptocurrency Trading using Isolation Forest Algorithm
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Updated
Jun 6, 2024 - Go
Real-Time Fraud Detection in Cryptocurrency Trading using Isolation Forest Algorithm
This AI-based fraud detection system leverages machine learning algorithms to identify patterns and anomalies in transactional data. By analyzing historical data, the system can predict fraudulent activities and flag suspicious transactions in real-time, providing businesses with automated fraud prevention.
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