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Survey of explainability within process mining

Hoogendoorn, T.A.D. (2023) Survey of explainability within process mining.

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Abstract:In 2017, Wil van der Aalst wrote a conference introduction in which he calls for more transparency and explainability within process mining. To understand this problem and the criticality of it, a literary analysis is done on the 37 papers submitted for the BPI 2020 challenge, observing the reported use of techniques and platforms. We gathered this information for all 37 papers in a table and found that only 3 papers report the techniques and settings used. This was a small scale survey on a very limited sample, further research is required in a more systematic way on a bigger sample size.
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Computer Science BSc (56964)
Link to this item:https://purl.utwente.nl/essays/94435
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