In System Alignments we Trust! Explainable Alignments via Projections
Fuente:
arXiv
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866909465384583168 |
|---|---|
| author | Sommers, Dominique Sidorova, Natalia van Dongen, Boudewijn |
| author_facet | Sommers, Dominique Sidorova, Natalia van Dongen, Boudewijn |
| contents | Alignments are a well-known process mining technique for reconciling system logs and normative process models. Evidence of certain behaviors in a real system may only be present in one representation - either a log or a model - but not in the other. Since for processes in which multiple entities, like objects and resources, are involved in the activities, their interactions affect the behavior and are therefore essential to take into account in the alignments.
Additionally, both logged and modeled representations of reality may be imprecise and only partially represent some of these entities, but not all. In this paper, we introduce the concept of "relaxations" through projections for alignments to deal with partially correct models and logs. Relaxed alignments help to distinguish between trustworthy and untrustworthy content of the two representations (the log and the model) to achieve a better understanding of the underlying process and expose quality issues. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_14360 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | In System Alignments we Trust! Explainable Alignments via Projections Sommers, Dominique Sidorova, Natalia van Dongen, Boudewijn Artificial Intelligence Formal Languages and Automata Theory Alignments are a well-known process mining technique for reconciling system logs and normative process models. Evidence of certain behaviors in a real system may only be present in one representation - either a log or a model - but not in the other. Since for processes in which multiple entities, like objects and resources, are involved in the activities, their interactions affect the behavior and are therefore essential to take into account in the alignments. Additionally, both logged and modeled representations of reality may be imprecise and only partially represent some of these entities, but not all. In this paper, we introduce the concept of "relaxations" through projections for alignments to deal with partially correct models and logs. Relaxed alignments help to distinguish between trustworthy and untrustworthy content of the two representations (the log and the model) to achieve a better understanding of the underlying process and expose quality issues. |
| title | In System Alignments we Trust! Explainable Alignments via Projections |
| topic | Artificial Intelligence Formal Languages and Automata Theory |
| url | https://arxiv.org/abs/2501.14360 |