Association Discovery Framework in WebTAS

摘要

Association Discovery Framework (ADF) allows rules engines to be integrated with WebTAS so that the rules engines may associate related records. The associations, or relationships as they are known in WebTAS, include system generated confidence values and also allow for user specified confidences. Filtering may be applied to views in WebTAS so that only records with a user confidence are honored, so that only confidences above a threshold are displayed and so that a combination of user and system confidences are used. This paper describes one implementation of this framework that uses the Seer complex event processing system as its rules engine.