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AI Techniques for Financial Fraud Detection by Marsello Immanuel is a document available to read on EtoBox.

This paper analyzes AI-enhanced data mining techniques for detecting large-scale financial fraud, highlighting the effectiveness of various machine learning algorithms such as decision trees and deep learning. The research demonstrates that AI-driven models significantly outperform traditional methods in detection accuracy and false positive rates, emphasizing the need for proactive fraud prevention strategies. The study provides a comprehensive framework for implementing these advanced techniques to improv

Author

Marsello Immanuel

Language

EN