A KDD-Based Methodology to Rank Trust in e-Commerce Systems

Due to the growing popularity of the Web, there is an increasing number of people who perform e-business transactions. On the other hand, this popularity has also attracted the attention of criminals, raising the number of frauds on the Web and associated financial losses, which reach billions of dollars per year. This paper proposes a KDD-based methodology to detect fraud in e-payment systems. In order to evaluate this methodology we defined the concept of economic efficiency and applied it to an actual dataset of one of the largest Latin American electronic payment systems. The results show a very good performance, providing gains of up to 46.5% in comparison with the strategy currently employed by the company.