Distributed multi-perspective declare discovery

Declarative process models define the behaviour of processes by means of constraints exerted over their activities. Multi-perspective declarative approaches extend the expressiveness of those constraints to include resources, time, and information artefacts. In this paper, we present a fast distributed approach and software prototype to discover multi-perspective declarative models out of event logs, based upon parallel computing. The demo is targeted at process mining researchers and practitioners, and describes the tool through its application on a use case, based on a publicly available real-life bench-mark.