|
Abstract:
|
Fraud detection and prevention are increasingly important issues in business risk analysis areas such as credit or telecommunication fraud detection. We provide integration insights from Data Oriented and Model Oriented DSS areas, and investigate on a new hybrid approach in event procesing for solving complex business decisions problems under transactional environments. Data decision support technologies, commercially known as business intelligence, are mainly addressing decision support methods within enterprise environments, we present how Decision Theory and Bayesian Networks, such as Influence Diagram, can improve and automate enterprise decision making for efficient deployment of anti-fraud business systems.
|
