The development of a rule based expert system model for fraud alert in consumer credit

In this paper, we present a rule-based expert system to help alert banks and other financial institutions to fraudulent usage of consumer credit, particularly with credit cards. The objective of this model is to identify suspected fraud during the authorization process. The paper first addresses the model building process, then describes prototype development, and finally, presents results from analysis of real data from a Canadian bank.