Probabilistic Inference System for Complex Event Recognition under Uncertainty

Abstract

Recognizing patters regarding vulnerability and security from stream data under uncertainty is important in many application fields. Probabilistic inference for such patters is a fundamental task of the complex event processing. This paper proposes a probabilistic inference system for complex events based on Allen’s interval algebra under uncertainty and conducts experiments to evaluate the efficiency of our system.