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DC Field | Value | Language |
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dc.contributor.author | VAN HULZEN, Gerard | - |
dc.contributor.author | JANSSENSWILLEN, Gert | - |
dc.contributor.author | MARTIN, Niels | - |
dc.contributor.author | DEPAIRE, Benoit | - |
dc.date.accessioned | 2022-12-16T14:25:07Z | - |
dc.date.available | 2022-12-16T14:25:07Z | - |
dc.date.issued | 2022 | - |
dc.date.submitted | 2022-12-08T15:05:13Z | - |
dc.identifier.citation | Hassani, Marwan; Koschmider, Agnes; Comuzzi, Marco (Ed.). Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), CEUR Workshop Proceedings, p. 95 -99 | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | http://hdl.handle.net/1942/39066 | - |
dc.description.abstract | bupaR and the bupaverse are a collection of open-source R-packages designed for process data analysis in R. Due to its focus on interactivity, reproducibility, and extensibility, combined with its open-source nature, bupaR has seen a significant increase in usage over the past few years, both by academics and professional process analysts. In this demonstration, we highlight the new features of bupaR 0.5.0, which can assist practitioners when analysing their process data. | - |
dc.language.iso | en | - |
dc.publisher | CEUR Workshop Proceedings | - |
dc.relation.ispartofseries | CEUR Workshop Proceedings | - |
dc.rights | © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0). | - |
dc.subject.other | bupaR | - |
dc.subject.other | R | - |
dc.subject.other | Process analytics | - |
dc.subject.other | Process mining | - |
dc.subject.other | Event data | - |
dc.title | Process Analysis with bupaR 0.5.0: What's New? | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Hassani, Marwan | - |
local.bibliographicCitation.authors | Koschmider, Agnes | - |
local.bibliographicCitation.authors | Comuzzi, Marco | - |
local.bibliographicCitation.conferencedate | 23-28 October 2022 | - |
local.bibliographicCitation.conferencename | The 4th International Conference on Process Mining (ICPM 2022) | - |
local.bibliographicCitation.conferenceplace | Bolzano, Italy | - |
dc.identifier.epage | 99 | - |
dc.identifier.spage | 95 | - |
local.format.pages | 5 | - |
local.bibliographicCitation.jcat | C1 | - |
local.publisher.place | Aachen, Germany | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper - Abstract | - |
local.relation.ispartofseriesnr | 3299 | - |
dc.identifier.url | https://ceur-ws.org/Vol-3299/Paper20.pdf | - |
local.provider.type | - | |
local.bibliographicCitation.btitle | Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022) | - |
local.uhasselt.international | no | - |
item.contributor | VAN HULZEN, Gerard | - |
item.contributor | JANSSENSWILLEN, Gert | - |
item.contributor | MARTIN, Niels | - |
item.contributor | DEPAIRE, Benoit | - |
item.accessRights | Open Access | - |
item.fullcitation | VAN HULZEN, Gerard; JANSSENSWILLEN, Gert; MARTIN, Niels & DEPAIRE, Benoit (2022) Process Analysis with bupaR 0.5.0: What's New?. In: Hassani, Marwan; Koschmider, Agnes; Comuzzi, Marco (Ed.). Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), CEUR Workshop Proceedings, p. 95 -99. | - |
item.fulltext | With Fulltext | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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van Hulzen et al_2022_Process Analysis with bupaR.pdf | Published version | 2.31 MB | Adobe PDF | View/Open |
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