An adaptive resource allocation model in anti-money laundering system

Abstract

The importance of the global combating of money laundering and financing of terrorism has increased significantly over the past decade. One of the most fundamental research issues in Anti-Money Laundering (AML) area is how to efficiently and adaptively allocate the limited AML resource to analyze suspicious transactions to achieve the maximal AML rewards. In this paper, a novel Adaptive AML Resource Allocation Model (AAMLRAM) based on Semi-Markov Decision Process (SMDP) is proposed to