Research of detecting e-business fraud based on data mining

The advent of electronic business (e-business) has made a large change in the way of business. Electronic business growth has increased very much in a great deal of practices. Researchers have posed rules-based auditing systems for electronic business transactions, but they rely on the auditor´s knowledge of e-business fraud highly. While fraud happen, it is difficult to deal with by business systems due to the large number of online transactions. In this paper, we introduce a method that to bring about rules from fraud patterns based on data mining. Nextly, the system can distinguish transactions that have a high chance be deceptive by making use of these rules to e-business databases.