Conformance Checking with Uncertainty via SMT (Extended Version)
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Abstract (arXiv)
Logs of real-life processes often feature uncertainty pertaining the recorded timestamps, data values, and/or events. We consider the problem of checking conformance of uncertain logs against data-aware reference processes. Specifically, we show how to solve it via SMT encodings, lifting previous work on data-aware SMT-based conformance checking to this more sophisticated setting. Our approach is modular, in that it homogeneously accommodates for different types of uncertainty. Moreover, using appropriate cost functions, different conformance checking tasks can be addressed. We show the correctness of our approach and witness feasibility through a proof-of-concept implementation.
Key facts. Cited by 4 papers in the map (data through 14 Oct 2026). Builds on 5 of its 24 references that are in the map. First posted on arXiv 15 Jun 2022.
Builds on
5 of 24 references.
References · 5
- 2020Conformance Checking over Uncertain Event Datacited by 13
- 2021Probabilistic Trace Alignmentcited by 6
- 2014Optimization Modulo Theories with Linear Rational Costscited by 4
- 2021CoCoMoT: Conformance Checking of Multi-Perspective Processes via SMT (Extended Version)cited by 4
- 2022Process Mining on Uncertain Event Datacited by 2
Built on by
Citing papers per year: 2022: 1; 2023: 1; 2024: 2.
4 papers.
- 2024Conformance Checking of Fuzzy Logs against Declarative Temporal Specificationscited by 5
- 2022Alignment-based conformance checking over probabilistic eventscited by 0
- 2023Object-Centric Conformance Alignments with Synchronization (Extended Version)cited by 0
- 2024Data Petri Nets meet Probabilistic Programming (Extended version)cited by 0
- 2024Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications17 Jun 2024
- 2024Data Petri Nets meet Probabilistic Programming (Extended version)12 Jun 2024
- 2023Object-Centric Conformance Alignments with Synchronization (Extended Version)13 Dec 2023
- 2022Alignment-based conformance checking over probabilistic events9 Sep 2022