Conference Proceedings

Model and event log reductions to boost the computation of alignments

F Taymouri, J Carmona

Data-Driven Process Discovery and Analysis 6th IFIP WG 2.6 International Symposium, SIMPDA 2016, Graz, Austria, December 15-16, 2016, Revised Selected Papers | Springer | Published : 2018

Abstract

The alignment of observed and modeled behavior is a pivotal issue in process mining because it opens the door for assessing the quality of a process model, as well as the usage of the model as a precise predictor for the execution of a process. This paper presents a novel technique for reduction of a process model based on the notion of indication, by which, the occurrence of an event in the model reveals the occurrence of some other events, hence relegating the later set as less important information when model and log alignment is computed. Once indications relations are computed in the model, both model and log can be reduced accordingly, and then fed to the state of the art approaches fo..

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