Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/22907
Full metadata record
DC FieldValueLanguage
dc.contributor.authorSWENNEN, Marijke-
dc.contributor.authorMARTIN, Niels-
dc.contributor.authorJANSSENSWILLEN, Gert-
dc.contributor.authorJANS, Mieke-
dc.contributor.authorDEPAIRE, Benoit-
dc.contributor.authorCARIS, An-
dc.contributor.authorVANHOOF, Koen-
dc.date.accessioned2016-12-19T11:10:42Z-
dc.date.available2016-12-19T11:10:42Z-
dc.date.issued2016-
dc.identifier.citationCeravolo, Paolo; Guetl, Christian; Rinderle-Ma, Stefanie (Ed.). Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis, RWTH Aachen University,p. 130-134-
dc.identifier.issn1613-0073-
dc.identifier.urihttp://hdl.handle.net/1942/22907-
dc.description.abstractProcess mining mainly focuses on the retrieval of process models from event logs. As these discovery algorithms make assumptions, performance analyses based on these models can present a biased view. In literature, algorithm-agnostic process metrics have been introduced. Given the critical importance of resources in the light of continuous process improvement, this paper extends the process metrics framework towards the resource perspective. New metrics are added and existing metrics are adapted. Using the extended framework, organisations can retrieve useful insights in resource behaviour.-
dc.language.isoen-
dc.publisherRWTH Aachen University-
dc.relation.ispartofseriesCEUR Workshop Proceedings-
dc.subject.otherprocess mining; operational excellence; resource behaviour; log- based process metrics-
dc.titleCapturing resource behaviour from event logs-
dc.typeProceedings Paper-
local.bibliographicCitation.authorsCeravolo, Paolo-
local.bibliographicCitation.authorsGuetl, Christian-
local.bibliographicCitation.authorsRinderle-Ma, Stefanie-
local.bibliographicCitation.conferencedate15-16/12/2016-
local.bibliographicCitation.conferencenameSixth International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2016)-
local.bibliographicCitation.conferenceplaceGraz, Austria-
dc.identifier.epage134-
dc.identifier.spage130-
local.bibliographicCitation.jcatC1-
local.publisher.placeAachen-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.relation.ispartofseriesnr1757-
local.identifier.vabbc:vabb:414825-
dc.identifier.urlhttp://ceur-ws.org/Vol-1757/paper12.pdf-
local.bibliographicCitation.btitleProceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis-
item.fulltextWith Fulltext-
item.contributorSWENNEN, Marijke-
item.contributorMARTIN, Niels-
item.contributorJANSSENSWILLEN, Gert-
item.contributorJANS, Mieke-
item.contributorDEPAIRE, Benoit-
item.contributorCARIS, An-
item.contributorVANHOOF, Koen-
item.fullcitationSWENNEN, Marijke; MARTIN, Niels; JANSSENSWILLEN, Gert; JANS, Mieke; DEPAIRE, Benoit; CARIS, An & VANHOOF, Koen (2016) Capturing resource behaviour from event logs. In: Ceravolo, Paolo; Guetl, Christian; Rinderle-Ma, Stefanie (Ed.). Proceedings of the 6th International Symposium on Data-driven Process Discovery and Analysis, RWTH Aachen University,p. 130-134.-
item.accessRightsOpen Access-
item.validationvabb 2018-
Appears in Collections:Research publications
Files in This Item:
File Description SizeFormat 
Swennen, Martin, Janssenswillen, Jans, Depaire, Caris, Vanhoof - Capturing resource behavior from event logs.pdfPeer-reviewed author version241.61 kBAdobe PDFView/Open
SIMPDA2016.140-144.pdfPublished version779.66 kBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check


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