As the complexity of information systems evolves, there is a growing interest in defining
suitable process models than can overcome the limitations of traditional formalisms like Petri
nets or related. Causal nets may be one of such process models, since their declarative
semantics and simple graph structure deviates from existing formalisms. Due to their novelty,
few discovery algorithms exist for Causal nets. Moreover, the existing ones offer poor
guarantees regarding the produced outcome. We describe an algorithm that can be applied …

As the complexity of information systems evolves, there is a growing interest in defining
suitable process models than can overcome the limitations of traditional formalisms like Petri
nets or related. Causal nets may be one of such promising process models, since important
characteristics of their semantics deviate from the ones in the literature. Due to their novelty,
very few discovery algorithms exist for Causal nets. Moreover, the existing ones offer very
few guarantees regarding the outcome produced. This paper describes an algorithm that …