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dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorWerf, Jan Martijn van der
dc.contributor.authorGeijtenbeek, Niek
dc.date.accessioned2024-01-01T01:04:24Z
dc.date.available2024-01-01T01:04:24Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/45776
dc.description.abstractThis project aimed to explore comparative techniques to quantify the (dis)similarity between event logs based on the behavior data present within them. The research uncovered two behavior abstractions that can be used as the basis of comparison. One is based on the direct-follows relation (DFR) and the other is on the full temporal relationships between events (EFR). Using these abstractions, existing metrics were adopted to function within the context of process mining.
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectCreating comparative techniques to evaluate the quality of event log (samples).
dc.titleProcess Miner: how sure are you? Comparing behavioral qualities in event log
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.keywordsProcess Mining, Conformance Checking, Data Science, Process Science, Metrics
dc.subject.courseuuBusiness Informatics
dc.thesis.id26703


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