Framework for Predictive Analytics with Complex Event Processing

Abstract

Event processing is a technique of tracking and scrutinizing of information about the events that happen and deriving a conclusion from them. Complex Event Processing(CEP) is a technology which allows combining of data from multiple sources and infers complicated patterns from the events. Complex events require real time detection in order to have time for appropriate reactions. However, there are several events which should be prevented rather than responding to them after they have occurred. This can be achieved using Predictive analysis. Predictive analysis(PA) enhances the performance of CEP. In this paper, we define CEP and PA technology and provide a conceptual framework which provides synergy between CEP and PA. This framework can be the basis of general design pattern in future.