Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/40337
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DC Field | Value | Language |
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dc.date.accessioned | 2023-06-08T09:42:17Z | - |
dc.date.available | 2023-06-08T09:42:17Z | - |
dc.date.issued | 2023 | - |
dc.date.submitted | 2023-06-08T08:48:18Z | - |
dc.identifier.citation | Zenodo. 10.5281/zenodo.6793544 https://zenodo.org/record/6793544 | - |
dc.identifier.uri | http://hdl.handle.net/1942/40337 | - |
dc.description.abstract | This 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.sponsorship | UHasselt BOF under grant number BOF19OWB19 | - |
dc.description.sponsorship | BIRD project: “Web-site Interaction Discovery” (code BIRD219730/21) | - |
dc.description.sponsorship | BIRD project: “Data-driven Business Process Improvement” (code BIRD215924/21) | - |
dc.language.iso | en | - |
dc.publisher | Zenodo | - |
dc.subject.classification | Data mining | - |
dc.subject.other | Process Mining | - |
dc.subject.other | Event Data | - |
dc.subject.other | Abstraction | - |
dc.subject.other | Unsupervised Learning | - |
dc.title | An Empirical Evaluation of Unsupervised Event Log Abstraction Techniques in Process Mining | - |
dc.type | Dataset | - |
local.bibliographicCitation.jcat | DS | - |
dc.description.version | 1.0.0 | - |
dc.rights.license | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
dc.identifier.doi | 10.5281/zenodo.6793544 | - |
dc.identifier.url | https://zenodo.org/record/6793544 | - |
local.provider.type | datacite | - |
local.uhasselt.international | yes | - |
local.contributor.datacreator | VAN HOUDT, Greg | - |
local.contributor.datacreator | de Leoni, Massimiliano | - |
local.contributor.datacreator | DEPAIRE, Benoit | - |
local.contributor.datacreator | MARTIN, Niels | - |
local.contributor.datacurator | VAN HOUDT, Greg | - |
local.contributor.rightsholder | VAN HOUDT, Greg | - |
local.format.extent | 1.1 Gb | - |
local.format.mimetype | 7z | - |
local.contributororcid.datacreator | 0000-0002-1793-4227 | - |
local.contributororcid.datacreator | 0000-0003-4735-0609 | - |
local.contributororcid.datacreator | 0000-0003-3279-3853 | - |
local.contributororcid.datacurator | 0000-0002-1793-4227 | - |
local.contributororcid.rightsholder | 0000-0002-1793-4227 | - |
local.publication.doi | 10.1016/j.is.2023.102320 | - |
local.contributingorg.datacreator | Hasselt University | - |
local.contributingorg.datacreator | University of Padua | - |
local.contributingorg.datacurator | Hasselt University | - |
local.contributingorg.rightsholder | Hasselt University | - |
dc.rights.access | Open Access | - |
item.accessRights | Closed Access | - |
item.contributor | VAN HOUDT, Greg | - |
item.contributor | de Leoni, Massimiliano | - |
item.contributor | DEPAIRE, Benoit | - |
item.contributor | MARTIN, Niels | - |
item.fullcitation | VAN 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.fulltext | No Fulltext | - |
crisitem.discipline.code | 01020102 | - |
crisitem.discipline.name | Data mining | - |
crisitem.discipline.path | Natural sciences > Information and computing sciences > Artificial intelligence > Data mining | - |
crisitem.discipline.pathandcode | Natural sciences > Information and computing sciences > Artificial intelligence > Data mining (01020102) | - |
crisitem.license.code | CC-BY-4.0 | - |
crisitem.license.name | Creative Commons Attribution 4.0 International (CC-BY-4.0) | - |
Appears in Collections: | Datasets |
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