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Towards Confirmatory Process Discovery: Making Assertions About the Underlying System

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dc.contributor.authorJanssenswillen, Gert
dc.contributor.authorDepaire, Benoît
dc.date.accessioned2019-12-13T06:28:58Z
dc.date.available2019-12-13T06:28:58Z
dc.date.issued2019
dc.description.abstractThe focus in the field of process mining, and process discovery in particular, has thus far been on exploring and describing event data by the means of models. Since the obtained models are often directly based on a sample of event data, the question whether they also apply to the real process typically remains unanswered. As the underlying process is unknown in real life, there is a need for unbiased estimators to assess the system-quality of a discovered model, and subsequently make assertions about the process. In this paper, an experiment is described and discussed to analyze whether existing fitness, precision and generalization metrics can be used as unbiased estimators of system fitness and system precision. The results show that important biases exist, which makes it currently nearly impossible to objectively measure the ability of a model to represent the system.de
dc.identifier.doi10.1007/s12599-018-0567-8
dc.identifier.pissn1867-0202
dc.identifier.urihttp://dx.doi.org/10.1007/s12599-018-0567-8
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/30646
dc.publisherSpringer
dc.relation.ispartofBusiness & Information Systems Engineering: Vol. 61, No. 6
dc.relation.ispartofseriesBusiness & Information Systems Engineering
dc.subjectConfirmatory data analysis
dc.subjectExploratory data analysis
dc.subjectFitness
dc.subjectGeneralization
dc.subjectPrecision
dc.subjectProcess discovery
dc.subjectProcess mining
dc.subjectProcess quality
dc.titleTowards Confirmatory Process Discovery: Making Assertions About the Underlying Systemde
dc.typeText/Journal Article
gi.citation.endPage728
gi.citation.startPage713

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BISE 61(6) - December 2019