Reconstructing invisible deviating events: A conformance checking approach for recurring events
Conformance checking enables organizations to determine whether their executed processes are compliant with the intended process. However, if the processes contain recurring activities, state-of-the-art approaches unfortunately have difficulties calculating the conformance. The occurrence of complex...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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AIMS Press
2022-08-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2022549?viewType=HTML |
| _version_ | 1811338365462642688 |
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| author | Joscha Grüger Martin Kuhn Ralph Bergmann |
| author_facet | Joscha Grüger Martin Kuhn Ralph Bergmann |
| author_sort | Joscha Grüger |
| collection | DOAJ |
| description | Conformance checking enables organizations to determine whether their executed processes are compliant with the intended process. However, if the processes contain recurring activities, state-of-the-art approaches unfortunately have difficulties calculating the conformance. The occurrence of complex temporal rules can further increase the complexity of the problem. Identifying this limitation, this paper presents a novel approach towards dealing with recurring activities in conformance checking. The core idea of the approach is to reconstruct the missing events in the event log using defined rules while incorporating specified temporal event characteristics. This approach then enables the use of native conformance checking algorithms. The paper illustrates the algorithmic approach and defines the required temporal event characteristics. Furthermore, the approach is applied and evaluated in a case study on an event log for melanoma surveillance. |
| first_indexed | 2024-04-13T18:08:46Z |
| format | Article |
| id | doaj.art-e3d80dbff2d14d22b99a888f04b1d10c |
| institution | Directory Open Access Journal |
| issn | 1551-0018 |
| language | English |
| last_indexed | 2024-04-13T18:08:46Z |
| publishDate | 2022-08-01 |
| publisher | AIMS Press |
| record_format | Article |
| series | Mathematical Biosciences and Engineering |
| spelling | doaj.art-e3d80dbff2d14d22b99a888f04b1d10c2022-12-22T02:35:58ZengAIMS PressMathematical Biosciences and Engineering1551-00182022-08-011911117821179910.3934/mbe.2022549Reconstructing invisible deviating events: A conformance checking approach for recurring eventsJoscha Grüger 0Martin Kuhn1Ralph Bergmann21. Business Information Systems Ⅱ, University of Trier, Behringstraße 21, Trier, 54292, Germany 2. German Research Center for Artificial Intelligence (DFKI), Trier Branch, Behringstraße 21, Trier, 54292, Germany2. German Research Center for Artificial Intelligence (DFKI), Trier Branch, Behringstraße 21, Trier, 54292, Germany1. Business Information Systems Ⅱ, University of Trier, Behringstraße 21, Trier, 54292, Germany 2. German Research Center for Artificial Intelligence (DFKI), Trier Branch, Behringstraße 21, Trier, 54292, GermanyConformance checking enables organizations to determine whether their executed processes are compliant with the intended process. However, if the processes contain recurring activities, state-of-the-art approaches unfortunately have difficulties calculating the conformance. The occurrence of complex temporal rules can further increase the complexity of the problem. Identifying this limitation, this paper presents a novel approach towards dealing with recurring activities in conformance checking. The core idea of the approach is to reconstruct the missing events in the event log using defined rules while incorporating specified temporal event characteristics. This approach then enables the use of native conformance checking algorithms. The paper illustrates the algorithmic approach and defines the required temporal event characteristics. Furthermore, the approach is applied and evaluated in a case study on an event log for melanoma surveillance.https://www.aimspress.com/article/doi/10.3934/mbe.2022549?viewType=HTMLprocess miningconformance checkingrecurring eventsinvisible deviating eventsevent reconstructionevent log preprocessing |
| spellingShingle | Joscha Grüger Martin Kuhn Ralph Bergmann Reconstructing invisible deviating events: A conformance checking approach for recurring events Mathematical Biosciences and Engineering process mining conformance checking recurring events invisible deviating events event reconstruction event log preprocessing |
| title | Reconstructing invisible deviating events: A conformance checking approach for recurring events |
| title_full | Reconstructing invisible deviating events: A conformance checking approach for recurring events |
| title_fullStr | Reconstructing invisible deviating events: A conformance checking approach for recurring events |
| title_full_unstemmed | Reconstructing invisible deviating events: A conformance checking approach for recurring events |
| title_short | Reconstructing invisible deviating events: A conformance checking approach for recurring events |
| title_sort | reconstructing invisible deviating events a conformance checking approach for recurring events |
| topic | process mining conformance checking recurring events invisible deviating events event reconstruction event log preprocessing |
| url | https://www.aimspress.com/article/doi/10.3934/mbe.2022549?viewType=HTML |
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