Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/18125
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dc.contributor.authorMARTIN, Niels-
dc.contributor.authorDEPAIRE, Benoit-
dc.contributor.authorCARIS, An-
dc.date.accessioned2015-01-19T11:21:46Z-
dc.date.available2015-01-19T11:21:46Z-
dc.date.issued2014-
dc.identifier.citation2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Proceedings, p. 381-388-
dc.identifier.isbn9781479945191-
dc.identifier.urihttp://hdl.handle.net/1942/18125-
dc.description.abstractThis paper focuses on the potential of process mining to support the construction of business process simulation (BPS) models. To date, research efforts are scarce and have a rather conceptual nature. Moreover, publications fail to explicit the complex internal structure of a simulation model. The current paper outlines the general structure of a BPS model. Building on these foundations, modeling tasks for the main components of a BPS model are identified. Moreover, the potential value of process mining and the state of the art in literature are discussed. Consequently, a multitude of promising research challenges are identified. In this sense, the current paper can guide future research on the use of process mining in a BPS context.-
dc.language.isoen-
dc.publisherIEEE-
dc.subject.otherbusiness process simulation; process mining; event log knowledge; simulation model construction-
dc.titleThe use of process mining in a business process simulation context: overview and challenges-
dc.typeProceedings Paper-
local.bibliographicCitation.conferencedate9-12/12/2014-
local.bibliographicCitation.conferencename2014 IEEE Symposium on Computational Intelligence and Data Mining-
local.bibliographicCitation.conferenceplaceOrlando (Florida), United States-
dc.identifier.epage388-
dc.identifier.spage381-
local.bibliographicCitation.jcatC1-
local.type.refereedRefereed-
local.type.specifiedProceedings Paper-
local.identifier.vabbc:vabb:378770-
dc.identifier.doi10.1109/CIDM.2014.7008693-
dc.identifier.isi000381485400053-
local.bibliographicCitation.btitle2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Proceedings-
item.fulltextNo Fulltext-
item.contributorMARTIN, Niels-
item.contributorDEPAIRE, Benoit-
item.contributorCARIS, An-
item.fullcitationMARTIN, Niels; DEPAIRE, Benoit & CARIS, An (2014) The use of process mining in a business process simulation context: overview and challenges. In: 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Proceedings, p. 381-388.-
item.accessRightsClosed Access-
item.validationecoom 2017-
item.validationvabb 2018-
Appears in Collections:Research publications
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