Journal article

Stage-based Discovery of Business Process Models from Event Logs

Hoang Nguyen, Marlon Dumas, Arthur ter Hofstede, Marcello La Rosa, Fabrizio M Maggi

Information Systems | Elsevier | Published : 2019

Abstract

An automated process discovery technique generates a process model from an event log recording the execution of a business process. For it to be useful, the generated process model should be as simple as possible, while accurately capturing the behavior recorded in, and implied by, the event log. Most existing automated process discovery techniques generate flat process models. When confronted to large event logs, these approaches lead to overly complex or inaccurate process models. An alternative is to apply a divide-and-conquer approach by decomposing the process into stages and discovering one model per stage. It turns out, however, that existing divide-and-conquer process discovery appro..

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Grants

Awarded by Australian Research Council


Funding Acknowledgements

This research is funded by the Australian Research Council (grant DP150103356) and the Estonian Research Council (grant IUT20-55).