Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/33075
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dc.contributor.authorJANSSENSWILLEN, Gert-
dc.contributor.authorMannhardt, Felix-
dc.contributor.authorCREEMERS, Mathijs-
dc.contributor.authorDEPAIRE, Benoit-
dc.contributor.authorJANS, Mieke-
dc.contributor.authorJOOKEN, Leen-
dc.contributor.authorMARTIN, Niels-
dc.contributor.authorVAN HOUDT, Greg-
dc.date.accessioned2021-01-12T13:47:04Z-
dc.date.available2021-01-12T13:47:04Z-
dc.date.issued2020-
dc.date.submitted2021-01-11T17:31:06Z-
dc.identifier.citationCEUR WORKSHOP PROCEEDINGS (Ed.). Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), p. 43 -46-
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/1942/33075-
dc.description.abstractOver the past few year, bupaR-the open-source R-ecosystem for process analysis-has seen a considerable increase in functionalities and users. It has been one of the first successful tools for script-based process analytics, and can currently be seen as the state-of-the-art tool for process analysis in R and an important player in the open-source process mining tool landscape. With a user-base consisting largely of professional process analysts, the ecosystem has helped to increase the adoption of process mining in a broad range of fields. In this demonstration, we highlight recent extensions to the ecosystem that will further increase its usefulness for practitioners during their process mining projects.-
dc.description.sponsorshipThe authors would like to warmly thank all users who are actively contributing to the bupaR-framework by submitting issues and pull requests on the GitHub repositories.-
dc.language.isoen-
dc.relation.ispartofseriesCEUR WORKSHOP PROCEEDINGS-
dc.rights2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)-
dc.subject.otherIndex Terms-bupaR-
dc.subject.otherR-
dc.subject.otherprocess analytics-
dc.subject.otherdata quality-
dc.subject.otherknowl- edge management-
dc.titleExtensions to the bupaR ecosystem: An overview-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsCEUR WORKSHOP PROCEEDINGS-
local.bibliographicCitation.conferencedate4-9 Oktober 2020-
local.bibliographicCitation.conferencenameICPM 2020 Doctoral Consortium and Tool Demonstration Track-
local.bibliographicCitation.conferenceplacePadua-
dc.identifier.epage46-
dc.identifier.spage43-
local.format.pages4-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
dc.identifier.urlhttp://ceur-ws.org/Vol-2703/paperTD7.pdf-
local.provider.typePdf-
local.bibliographicCitation.btitleProceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020)-
local.uhasselt.uhpubyes-
local.uhasselt.internationalyes-
item.fulltextWith Fulltext-
item.contributorJANSSENSWILLEN, Gert-
item.contributorMannhardt, Felix-
item.contributorCREEMERS, Mathijs-
item.contributorDEPAIRE, Benoit-
item.contributorJANS, Mieke-
item.contributorJOOKEN, Leen-
item.contributorMARTIN, Niels-
item.contributorVAN HOUDT, Greg-
item.accessRightsOpen Access-
item.fullcitationJANSSENSWILLEN, Gert; Mannhardt, Felix; CREEMERS, Mathijs; DEPAIRE, Benoit; JANS, Mieke; JOOKEN, Leen; MARTIN, Niels & VAN HOUDT, Greg (2020) Extensions to the bupaR ecosystem: An overview. In: CEUR WORKSHOP PROCEEDINGS (Ed.). Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020), p. 43 -46.-
item.validationvabb 2022-
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