Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/40337
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dc.date.accessioned2023-06-08T09:42:17Z-
dc.date.available2023-06-08T09:42:17Z-
dc.date.issued2023-
dc.date.submitted2023-06-08T08:48:18Z-
dc.identifier.citationZenodo. 10.5281/zenodo.6793544 https://zenodo.org/record/6793544-
dc.identifier.urihttp://hdl.handle.net/1942/40337-
dc.description.abstractThis upload contains the event logs, generated by L-Sim, on which the experiments of the related paper were performed. The related paper is published in the journal Information Systems (March 2024).-
dc.description.sponsorshipUHasselt BOF under grant number BOF19OWB19-
dc.description.sponsorshipBIRD project: “Web-site Interaction Discovery” (code BIRD219730/21)-
dc.description.sponsorshipBIRD project: “Data-driven Business Process Improvement” (code BIRD215924/21)-
dc.language.isoen-
dc.publisherZenodo-
dc.subject.classificationData mining-
dc.subject.otherProcess Mining-
dc.subject.otherEvent Data-
dc.subject.otherAbstraction-
dc.subject.otherUnsupervised Learning-
dc.titleAn Empirical Evaluation of Unsupervised Event Log Abstraction Techniques in Process Mining-
dc.typeDataset-
local.bibliographicCitation.jcatDS-
dc.description.version1.0.0-
dc.rights.licenseCreative Commons Attribution 4.0 International (CC-BY-4.0)-
dc.identifier.doi10.5281/zenodo.6793544-
dc.identifier.urlhttps://zenodo.org/record/6793544-
local.provider.typedatacite-
local.uhasselt.internationalyes-
local.contributor.datacreatorVAN HOUDT, Greg-
local.contributor.datacreatorde Leoni, Massimiliano-
local.contributor.datacreatorDEPAIRE, Benoit-
local.contributor.datacreatorMARTIN, Niels-
local.contributor.datacuratorVAN HOUDT, Greg-
local.contributor.rightsholderVAN HOUDT, Greg-
local.format.extent1.1 Gb-
local.format.mimetype7z-
local.contributororcid.datacreator0000-0002-1793-4227-
local.contributororcid.datacreator0000-0003-4735-0609-
local.contributororcid.datacreator0000-0003-3279-3853-
local.contributororcid.datacurator0000-0002-1793-4227-
local.contributororcid.rightsholder0000-0002-1793-4227-
local.publication.doi10.1016/j.is.2023.102320-
local.contributingorg.datacreatorHasselt University-
local.contributingorg.datacreatorUniversity of Padua-
local.contributingorg.datacuratorHasselt University-
local.contributingorg.rightsholderHasselt University-
dc.rights.accessOpen Access-
item.fullcitationVAN HOUDT, Greg; de Leoni, Massimiliano; DEPAIRE, Benoit & MARTIN, Niels (2023) An Empirical Evaluation of Unsupervised Event Log Abstraction Techniques in Process Mining. Zenodo. 10.5281/zenodo.6793544 https://zenodo.org/record/6793544.-
item.fulltextNo Fulltext-
item.contributorVAN HOUDT, Greg-
item.contributorde Leoni, Massimiliano-
item.contributorDEPAIRE, Benoit-
item.contributorMARTIN, Niels-
item.accessRightsClosed Access-
crisitem.license.codeCC-BY-4.0-
crisitem.license.nameCreative Commons Attribution 4.0 International (CC-BY-4.0)-
crisitem.discipline.code01020102-
crisitem.discipline.nameData mining-
crisitem.discipline.pathNatural sciences > Information and computing sciences > Artificial intelligence > Data mining-
crisitem.discipline.pathandcodeNatural sciences > Information and computing sciences > Artificial intelligence > Data mining (01020102)-
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