Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/24876
Full metadata record
DC FieldValueLanguage
dc.contributor.authorJANSSENSWILLEN, Gert-
dc.contributor.authorDEPAIRE, Benoit-
dc.date.accessioned2017-09-29T11:00:16Z-
dc.date.available2017-09-29T11:00:16Z-
dc.date.issued2017-
dc.identifier.citation15th International Conference on Business Process Management (BMP 2017), Barcelona, Spain, 10-15/09/2017-
dc.identifier.urihttp://hdl.handle.net/1942/24876-
dc.description.abstractThis paper introduces bupaR which is a collection of Rpackages which can be used for exploring and visualizing event data and monitoring processes. It creates a bridge between the BPM community and the broader R and data science communities. Furthermore, it stimulates the use of process mining in corporations, as R is a very wide used analysis tool in business, with its popularity still strongly increasing.-
dc.language.isoen-
dc.subject.otherR; process analysis; process monitoring; data analysis; statistics-
dc.titlebupaR: Business Process Analysis in R-
dc.typeConference Material-
local.bibliographicCitation.conferencedate10-15/09/2017-
local.bibliographicCitation.conferencename15th International Conference on Business Process Management (BMP 2017)-
local.bibliographicCitation.conferenceplaceBarcelona, Spain-
local.bibliographicCitation.jcatC2-
local.type.refereedNon-Refereed-
local.type.specifiedPaper-
dc.identifier.urlhttp://ceur-ws.org/Vol-1920/BPM_2017_paper_193.pdf-
item.accessRightsOpen Access-
item.fullcitationJANSSENSWILLEN, Gert & DEPAIRE, Benoit (2017) bupaR: Business Process Analysis in R. In: 15th International Conference on Business Process Management (BMP 2017), Barcelona, Spain, 10-15/09/2017.-
item.contributorJANSSENSWILLEN, Gert-
item.contributorDEPAIRE, Benoit-
item.fulltextWith Fulltext-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
20170726_BPM_DEMO_bupaR_Janssenswillen_Depaire_CameraReady.pdfConference material241.88 kBAdobe PDFView/Open
Show simple item record

Page view(s)

36
checked on Sep 5, 2022

Download(s)

4
checked on Sep 5, 2022

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.