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A Tool for Computing Probabilistic Trace Alignments

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.

Publication metadata

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


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