Abstract
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.
Original language | English |
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Title of host publication | Process Mining Handbook |
Publisher | Springer |
Pages | 155-190 |
Number of pages | 36 |
DOIs | |
Publication status | Published - 2022 |
Publication series
Name | Lecture Notes in Business Information Processing |
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Volume | 448 |
ISSN (Print) | 1865-1348 |
ISSN (Electronic) | 1865-1356 |
Bibliographical note
Funding Information:Acknowledgements. This work has grant PID2020-112581GB-C21.
Funding Information:
This work has been supported by MCIN/AEI funds under grant PID2020-112581GB-C21.
Publisher Copyright:
© 2022, The Author(s).