Economic Machine Learning for Fraud Detection

Abstract

Predictive machine learning model are increasingly being used to detect fraud by automatically learning fraud patterns from data and adapting to emerging pattern. This report explores the use of economic machine learning to detect and prevent health care, identity and cyber frauds. The report includes an in-depth look at accuracy-centric algorithms for cost-effective economic labeling.