Please use this identifier to cite or link to this item:
http://hdl.handle.net/1942/23101
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DC Field | Value | Language |
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dc.contributor.author | JOUCK, Toon | - |
dc.contributor.author | DEPAIRE, Benoit | - |
dc.date.accessioned | 2017-02-10T08:29:57Z | - |
dc.date.available | 2017-02-10T08:29:57Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | Azevedo, Leonardo; Cabanillas, Cristina (Ed.). Proceedings of the BPM Demo Track 2016 (BPMD 2016), CEUR workshop proceedings,p. 23-27 (Art N° 5) | - |
dc.identifier.issn | 1613-0073 | - |
dc.identifier.uri | http://hdl.handle.net/1942/23101 | - |
dc.description.abstract | The empirical analysis of process discovery algorithms has recently gained more attention. An important step within such an analysis is the acquisition of the appropriate test event data, i.e. event logs and reference models. This requires an implemented framework that supports the random and automated generation of event data based on user speci cations. This paper presents a tool for generating arti cial process trees and event logs that can be used to study and compare the empirical workings of process discovery algorithms. It extends current tools by giving users full control over an extensive set of process control-flow constructs included in the fi nal models and event logs. Additionally, it is integrated within the ProM framework that o ffers a plethora of process discovery algorithms and evaluation metrics which are required during empirical analysis. | - |
dc.language.iso | en | - |
dc.relation.ispartofseries | CEUR workshop proceedings | - |
dc.rights | Copyright (C) 2016 for this paper by its authors. Copying permitted for private and academic purposes. | - |
dc.subject.other | artificial event logs; process simulation; process discovery | - |
dc.title | PTandLogGenerator: a Generator for Artificial Event Data | - |
dc.type | Proceedings Paper | - |
local.bibliographicCitation.authors | Azevedo, Leonardo | - |
local.bibliographicCitation.authors | Cabanillas, Cristina | - |
local.bibliographicCitation.conferencedate | 21/09/2016 | - |
local.bibliographicCitation.conferencename | 14th International Conference on Business Process Management (BPM 2016) | - |
local.bibliographicCitation.conferenceplace | Rio de Janeiro, Brazil | - |
dc.identifier.epage | 27 | - |
dc.identifier.spage | 23 | - |
local.format.pages | 5 | - |
local.bibliographicCitation.jcat | C1 | - |
local.type.refereed | Refereed | - |
local.type.specified | Proceedings Paper | - |
local.relation.ispartofseriesnr | 1789 | - |
local.identifier.vabb | c:vabb:437952 | - |
local.bibliographicCitation.artnr | 5 | - |
dc.identifier.url | http://ceur-ws.org/Vol-1789/ | - |
local.bibliographicCitation.btitle | Proceedings of the BPM Demo Track 2016 (BPMD 2016) | - |
item.fullcitation | JOUCK, Toon & DEPAIRE, Benoit (2016) PTandLogGenerator: a Generator for Artificial Event Data. In: Azevedo, Leonardo; Cabanillas, Cristina (Ed.). Proceedings of the BPM Demo Track 2016 (BPMD 2016), CEUR workshop proceedings,p. 23-27 (Art N° 5). | - |
item.fulltext | With Fulltext | - |
item.validation | vabb 2019 | - |
item.contributor | JOUCK, Toon | - |
item.contributor | DEPAIRE, Benoit | - |
item.accessRights | Open Access | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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bpm-demo-2016-paper5(published).pdf | Published version | 249.9 kB | Adobe PDF | View/Open |
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