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dc.contributor.authorRibeiro, Joel
dc.contributor.authorCarmona Vargas, Josep
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Ciències de la Computació
dc.date.accessioned2016-03-09T09:00:49Z
dc.date.available2016-03-09T09:00:49Z
dc.date.issued2015
dc.identifier.citationRibeiro, J., Carmona, J. A method for assessing parameter impact on control-flow discovery algorithms. A: International Workshop on Algorithms & Theories for the Analysis of Event Data. "Proceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015". Bruselas: CEUR-WS.org, 2015, p. 83-96.
dc.identifier.isbn1613-0073
dc.identifier.urihttp://hdl.handle.net/2117/84019
dc.description.abstractGiven an event log L, a control-flow discovery algorithm f, and a quality metric m, this paper faces the following problem: what are the parameters in f that mostly influence its application in terms of m when applied to L? This paper proposes a method to solve this problem, based on sensitivity analysis, a theory which has been successfully applied in other areas. Clearly, a satisfactory solution to this problem will be crucial to bridge the gap between process discovery algorithms and final users. Additionally, recommendation techniques and meta-techniques like determining the representational bias of an algorithm may benefit from solutions to the problem considered in this paper. The method has been evaluated over a set of logs and the flexible heuristic miner, and the preliminary results witness the applicability of the general framework described in this paper.
dc.format.extent14 p.
dc.language.isoeng
dc.publisherCEUR-WS.org
dc.subjectÀrees temàtiques de la UPC::Informàtica::Informàtica teòrica
dc.subject.lcshComputer algorithms
dc.subject.otherHeuristic methods
dc.subject.otherParameter estimation
dc.subject.otherProblem solving
dc.subject.otherSensitivity analysis
dc.titleA method for assessing parameter impact on control-flow discovery algorithms
dc.typeConference report
dc.subject.lemacAlgorismes computacionals
dc.contributor.groupUniversitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ceur-ws.org/Vol-1371/
dc.rights.accessOpen Access
local.identifier.drac17510157
dc.description.versionPostprint (author's final draft)
local.citation.authorRibeiro, J.; Carmona, J.
local.citation.contributorInternational Workshop on Algorithms & Theories for the Analysis of Event Data
local.citation.pubplaceBruselas
local.citation.publicationNameProceedings of the International Workshop on Algorithms & Theories for the Analysis of Event Data: Brussels, Belgium, June 22-23, 2015
local.citation.startingPage83
local.citation.endingPage96


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