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Probabilistic Trace Alignments

Lookup NU author(s): Dr Giacomo BergamiORCiD

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Abstract

Alignments provide sophisticated diagnostics that pinpoint deviations in a trace with respect to a process model. Alignment-based approaches for conformance checking have so far used crisp process models as a reference. Recent probabilistic conformance checking approaches check the degree of conformance of an event log as a whole with respect to a stochastic process model, without providing alignments. For the first time, we introduce a conformance checking approach based on trace alignments using stochastic Workflow nets. This requires to handle the two possibly contrasting forces of the cost of the alignment on the one hand and the likelihood of the model trace with respect to which the alignment is computed on the other.


Publication metadata

Author(s): Bergami G, Maggi FM, Montali M, Peñaloza R

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 3rd International Conference on Process Mining (ICPM)

Year of Conference: 2021

Pages: 9-16

Online publication date: 25/10/2021

Acceptance date: 15/08/1968

ISSN: 9781665435147

Publisher: IEEE

URL: https://doi.org/10.1109/ICPM53251.2021.9576856

DOI: 10.1109/ICPM53251.2021.9576856


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