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http://hdl.handle.net/1942/18125
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | MARTIN, Niels | - |
dc.contributor.author | DEPAIRE, Benoit | - |
dc.contributor.author | CARIS, An | - |
dc.date.accessioned | 2015-01-19T11:21:46Z | - |
dc.date.available | 2015-01-19T11:21:46Z | - |
dc.date.issued | 2014 | - |
dc.identifier.citation | 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Proceedings, p. 381-388 | - |
dc.identifier.isbn | 9781479945191 | - |
dc.identifier.uri | http://hdl.handle.net/1942/18125 | - |
dc.description.abstract | This 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.iso | en | - |
dc.publisher | IEEE | - |
dc.subject.other | business process simulation; process mining; event log knowledge; simulation model construction | - |
dc.title | The use of process mining in a business process simulation context: overview and challenges | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.conferencedate | 9-12/12/2014 | - |
local.bibliographicCitation.conferencename | 2014 IEEE Symposium on Computational Intelligence and Data Mining | - |
local.bibliographicCitation.conferenceplace | Orlando (Florida), United States | - |
dc.identifier.epage | 388 | - |
dc.identifier.spage | 381 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.identifier.vabb | c:vabb:378770 | - |
dc.identifier.doi | 10.1109/CIDM.2014.7008693 | - |
dc.identifier.isi | 000381485400053 | - |
local.bibliographicCitation.btitle | 2014 IEEE Symposium on Computational Intelligence and Data Mining (CIDM) Proceedings | - |
item.fullcitation | MARTIN, 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.fulltext | No Fulltext | - |
item.validation | ecoom 2017 | - |
item.validation | vabb 2018 | - |
item.contributor | MARTIN, Niels | - |
item.contributor | DEPAIRE, Benoit | - |
item.contributor | CARIS, An | - |
item.accessRights | Closed Access | - |
Appears in Collections: | Research publications |
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