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http://hdl.handle.net/1942/33075
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DC Field | Value | Language |
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dc.contributor.author | JANSSENSWILLEN, Gert | - |
dc.contributor.author | Mannhardt, Felix | - |
dc.contributor.author | CREEMERS, Mathijs | - |
dc.contributor.author | DEPAIRE, Benoit | - |
dc.contributor.author | JANS, Mieke | - |
dc.contributor.author | JOOKEN, Leen | - |
dc.contributor.author | MARTIN, Niels | - |
dc.contributor.author | VAN HOUDT, Greg | - |
dc.date.accessioned | 2021-01-12T13:47:04Z | - |
dc.date.available | 2021-01-12T13:47:04Z | - |
dc.date.issued | 2020 | - |
dc.date.submitted | 2021-01-11T17:31:06Z | - |
dc.identifier.citation | 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 | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | http://hdl.handle.net/1942/33075 | - |
dc.description.abstract | Over 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.sponsorship | The 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.iso | en | - |
dc.relation.ispartofseries | CEUR WORKSHOP PROCEEDINGS | - |
dc.rights | 2020 for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0) | - |
dc.subject.other | Index Terms-bupaR | - |
dc.subject.other | R | - |
dc.subject.other | process analytics | - |
dc.subject.other | data quality | - |
dc.subject.other | knowl- edge management | - |
dc.title | Extensions to the bupaR ecosystem: An overview | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | CEUR WORKSHOP PROCEEDINGS | - |
local.bibliographicCitation.conferencedate | 4-9 Oktober 2020 | - |
local.bibliographicCitation.conferencename | ICPM 2020 Doctoral Consortium and Tool Demonstration Track | - |
local.bibliographicCitation.conferenceplace | Padua | - |
dc.identifier.epage | 46 | - |
dc.identifier.spage | 43 | - |
local.format.pages | 4 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
dc.identifier.url | http://ceur-ws.org/Vol-2703/paperTD7.pdf | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Proceedings of the ICPM Doctoral Consortium and Tool Demonstration Track 2020 co-located with the 2nd International Conference on Process Mining (ICPM 2020) | - |
local.uhasselt.uhpub | yes | - |
local.uhasselt.international | yes | - |
item.fulltext | With Fulltext | - |
item.contributor | JANSSENSWILLEN, Gert | - |
item.contributor | Mannhardt, Felix | - |
item.contributor | CREEMERS, Mathijs | - |
item.contributor | DEPAIRE, Benoit | - |
item.contributor | JANS, Mieke | - |
item.contributor | JOOKEN, Leen | - |
item.contributor | MARTIN, Niels | - |
item.contributor | VAN HOUDT, Greg | - |
item.accessRights | Open Access | - |
item.fullcitation | JANSSENSWILLEN, 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.validation | vabb 2022 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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117_cr.pdf | Published version | 414.15 kB | Adobe PDF | View/Open |
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