Process Mining: Discovering the Process Model and Checking Conformance

Authors

  • Sarajane M. Peres University of São Paulo
  • Marcelo Fantinato University of São Paulo
  • Eduardo Alves Portela Santos Federal University of Paraná

DOI:

https://doi.org/10.5753/compbr.2023.49.4055

Keywords:

Process Mining, Process Model Discovery, Conformance Checking

Abstract

Automating business process model discovery and conformance checking are the most popular types of process mining. They are present as functionalities in most existing process mining tools, reveal important information about a process, and support the efficient and effective work of process managers. In this article, we present an illustrative example of the informative potential of these two types of process mining. As an addendum, we provide an infographic with background information that provides a quick overview of key concepts in the field.

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References

Augusto, A., Conforti, R., Marlon, M., La Rosa, M. & Polyvyanyy, A.: Split Miner: Automated Discovery of Accurate and Simple Business Process Models from Event Logs. Knowledge and Information Systems, 59(2), pp. 251–284, 2019.

Günther, C.W. & van der Aalst, W. Fuzzy Mining: Adaptive Process Simplification Based on Multi-perspective Metrics. In International Conference on Business Process Management (BPM 2007), v. 4714 of LNCS, Springer, Berlin, pp. 328–343, 2007.

Fantinato, M., Peres, S. M. Reijers, H. A. X-Processes: Discovering More Accurate Business Process Models with a Genetic Algorithms Method. In: 25th IEEE International Enterprise Distributed Object Computing Conference, (online) Gold Cost, p. 114-123, 2021.

Leemans, S.J.J., Fahland, D. & van der Aalst, W. Discovering Block-Structured Process Models from Event Logs Containing Infrequent Behaviour. In Business Process Management Workshops (BPI 2013), v. 171 of LNBIP, Springer, Berlin, pp. 66–78, 2014.

van der Aalst, W. Process Mining - Data Science in Action. 2nd ed. Springer, 2016.

Weske, M. Business Process Management - Concepts, Languages, Architectures. 2nd ed. Springer, 2012.

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Published

2023-04-01

How to Cite

Peres, S. M., Fantinato, M., & Santos, E. A. P. (2023). Process Mining: Discovering the Process Model and Checking Conformance. Brazil Computing, (49), 10–15. https://doi.org/10.5753/compbr.2023.49.4055

Issue

No. 49 (2023)

Section

Papers

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

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