dc.rights.license | CC-BY-NC-ND | |
dc.contributor.advisor | Werf, Jan Martijn van der | |
dc.contributor.author | Geijtenbeek, Niek | |
dc.date.accessioned | 2024-01-01T01:04:24Z | |
dc.date.available | 2024-01-01T01:04:24Z | |
dc.date.issued | 2024 | |
dc.identifier.uri | https://studenttheses.uu.nl/handle/20.500.12932/45776 | |
dc.description.abstract | This 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.sponsorship | Utrecht University | |
dc.language.iso | EN | |
dc.subject | Creating comparative techniques to evaluate the quality of event log (samples). | |
dc.title | Process Miner: how sure are you? Comparing behavioral qualities in event log | |
dc.type.content | Master Thesis | |
dc.rights.accessrights | Open Access | |
dc.subject.keywords | Process Mining, Conformance Checking, Data Science, Process Science, Metrics | |
dc.subject.courseuu | Business Informatics | |
dc.thesis.id | 26703 | |