A Method of Mining Hidden Transition of Business Process Based on Region

Abstract

Hidden transition is an invisible task that exists in the process model and does not appear in event logs. In order to restore business process model, hidden transition is discovered from process model and an optimization model is obtained. The existing methods have great limitations in accurately mining hidden transition. A method of mining hidden transition of business process based on region is presented in this paper. First, the execution event logs are given, and the interactive net (initial) process model of module net and feature net is constructed based on behavioral profile theory. Then, in order to find non-trivial regions, the preprocessed fragment record event logs are transformed into a transition system according to region theory. A fragment sub-model with hidden transition is built. The sub model is merged with the initial model, and the target model with hidden transition is mined. Finally, the effectiveness of the method is verified by a concrete instance.

Keywords

• Petri net
• behavioral profile
• feature net
• region theory
• hidden transition