A intelligent risk detection method in online transactions

Abstract

To address the issue of risk detection in e-commerce platform, this paper presents an intelligent risk detection method that can detect risk quickly and accurately without hampering the performance of the system. This method makes full use of all kinds of data collected in on-line transactions and extracts the features from them. Some theorems such as Bayes network and clustering are also introduced to classify the featured data and finally work out a solution for risk detection.