Samenvatting
By relating observed and modelled behaviour, conformance checking unleashes the full power of process mining. Techniques from this discipline enable the analysis of the quality of a process model discovered from event data, the identification of potential deviations, and the projection of real traces onto process models. This way, the insights gained from the available event data can be transferred to a richer conceptual level, amenable for a human interpretation. The aforementioned functionalities are grounded on the use of conformance checking artefacts that explicit the relation between observed and modelled behaviour. This chapter describes these artefacts, and builds upon them to gain evidence-based insights on the processes of an organization. Moreover, we overview the applications of conformance checking and propose a general framework that incorporates these applications. Finally, milestones and challenges of the field are outlined.
Originele taal-2 | Engels |
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Titel | Process Mining Handbook |
Redacteuren | Wil M.P. van der Aalst, Josep Carmona |
Uitgeverij | Springer |
Pagina's | 155-190 |
Aantal pagina's | 36 |
ISBN van elektronische versie | 978-3-031-08848-3 |
ISBN van geprinte versie | 978-3-031-08847-6 |
DOI's | |
Status | Gepubliceerd - 27 jun. 2022 |
Publicatie series
Naam | Lecture Notes in Business Information Processing |
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Volume | 448 |
ISSN van geprinte versie | 1865-1348 |
ISSN van elektronische versie | 1865-1356 |
Bibliografische nota
Publisher Copyright:© 2022, The Author(s).
Financiering
Acknowledgements. This work has grant PID2020-112581GB-C21. This work has been supported by MCIN/AEI funds under grant PID2020-112581GB-C21.