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Lookup NU author(s): Dr Giacomo BergamiORCiD
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Alignments pinpoint trace deviations in a process model and quantify their severity. However, approaches based on trace alignments use crisp process models and recent probabilistic conformance checking approaches check the degree of conformance of an event log with respect to a stochastic process model instead of finding trace alignments. In this paper, for the first time, we provide a conformance checking approach based on trace alignments using stochastic Workflow nets. Conceptually, 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.
Author(s): Bergami G, Maggi FM, Montali M, Peñaloza R
Publication type: Conference Proceedings (inc. Abstract)
Publication status: Published
Conference Name: International Conference on Advanced Information Systems Engineering (CAiSE 2021): Intelligent Information Systems
Year of Conference: 2021
Pages: 118-126
Online publication date: 15/06/2021
Acceptance date: 19/04/2021
ISSN: 1865-1348
Publisher: Springer
URL: https://doi.org/10.1007/978-3-030-79108-7_14
DOI: 10.1007/978-3-030-79108-7_14
Library holdings: Search Newcastle University Library for this item
Series Title: Lecture Notes in Business Information Processing
ISBN: 9783030791070
