e-Trans Association Rules for e-Banking Transactions

摘要

The introduction of data mining methods in the banking area although conducted in a slower way than in other fields, mainly due to the nature and sensitivity of bank data, can already be considered of great assistance to banks as to prediction, forecasting, knowledge management and decision support. One particular method is the investigation for association rules between products and services, which are offered from an electronic banking division. Results are generally impressive since in many cases strong relations are established, which are not easily observed at a first glance. These rules are used as additional tools aiming at the continuous improvement of e-banking services and products helping also in approaching new customers. Scope of this paper is the presentation of the e-Trans association rules, concerning patterns in e-banking transactions through internet.