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.

Bergami, G., Maggi, F., Montali, M., Penaloza, R. (2021). A Tool for Computing Probabilistic Trace Alignments. In Intelligent Information Systems CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (pp.118-126). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-79108-7_14].

A Tool for Computing Probabilistic Trace Alignments

Penaloza R.
2021

Abstract

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.
paper
Alignments; Conformance checking; Stochastic Petri nets;
English
33rd International Conference on Advanced Information Systems Engineering, CAiSE 2021 - June 28 – July 2, 2021
2021
Intelligent Information Systems CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings
9783030791070
2021
424 LNBIP
118
126
reserved
Bergami, G., Maggi, F., Montali, M., Penaloza, R. (2021). A Tool for Computing Probabilistic Trace Alignments. In Intelligent Information Systems CAiSE Forum 2021, Melbourne, VIC, Australia, June 28 – July 2, 2021, Proceedings (pp.118-126). Springer Science and Business Media Deutschland GmbH [10.1007/978-3-030-79108-7_14].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/328345
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