AI-Enhanced Fraud Detection: Novel Approaches and Performance Analysis
Damodharan Kuttiyappan, V Rajasekar
Abstract
Fraudulent activities have become a pervasive and costly problem in today's interconnected world, threatening the stability and trustworthiness of various industries. The rise of sophisticated fraud tactics and the constantly evolving nature of fraudulent behavior necessitate innovative and adaptive
Topics & Concepts
Computer scienceImbalanced Data Classification Techniques