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Process Mining Meets Visual Analytics

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dc.contributor.authorPufahl, Luise
dc.contributor.authorGrohs, Michael
dc.contributor.authorKlein, Lisa-Marie
dc.contributor.authorRehse, Jana-Rebecca
dc.contributor.editorLaue, Ralf
dc.contributor.editorFahrenkrog-Petersen, Stephan
dc.date.accessioned2024-05-08T08:24:46Z
dc.date.available2024-05-08T08:24:46Z
dc.date.issued2024
dc.description.abstractThis extended abstract summarizes a study on the visualization of conformance checking results in process mining, presented at HICSS 2023. Conformance checking compares intended and actual business process behaviors using IT system logs. Our study examined the visualization features of both academic and commercial process mining tools. We found these tools offer visualizations for quantifying conformance, breaking it down, localizing, and explaining deviations. However, there is a need for structured research on process analysts' visualization needs and the interaction between data, analysts, and visualizations.en
dc.identifier.doi10.18420/EMISA2024_06
dc.identifier.isbn978-3-88579-743-2
dc.identifier.issn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/44018
dc.language.isoen
dc.publisherGesellschaft für Informatik, Bonn
dc.relation.ispartofEMISA 2024
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-349
dc.subjectProcess Mining Conformance Checking
dc.subjectVisualization Visual Analytics
dc.titleProcess Mining Meets Visual Analyticsen
dc.title.subtitleThe Case of Conformance Checking [Extended Abstract]en
mci.conference.date13–14 March 2024
mci.conference.locationPotsdam
mci.conference.sessiontitleEnterprise Modeling and Information Systems Architecture (EMISA 2024)
mci.reference.pages39-40

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P349 - EMISA 2024 Enterprise Modelling and Information Systems Architectures