Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning

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dc.contributor.authorManuél Camargo
dc.contributor.authorDaniel Barón
dc.contributor.authorMarlon Dumas
dc.contributor.authorOscar González-Rojas
dc.coverage.spatialBolivia
dc.date.accessioned2026-03-22T16:03:52Z
dc.date.available2026-03-22T16:03:52Z
dc.date.issued2022
dc.descriptionCitaciones: 2
dc.description.abstractData and generative models for research article<em> Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning</em>.
dc.identifier.doi10.5281/zenodo.7443872
dc.identifier.urihttps://doi.org/10.5281/zenodo.7443872
dc.identifier.urihttps://andeanlibrary.org/handle/123456789/56030
dc.language.isoen
dc.publisherEuropean Organization for Nuclear Research
dc.relation.ispartofZenodo (CERN European Organization for Nuclear Research)
dc.sourceUniversidad de Los Andes
dc.subjectBusiness process discovery
dc.subjectComputer science
dc.subjectProcess (computing)
dc.subjectProcess mining
dc.subjectProcess modeling
dc.subjectEvent (particle physics)
dc.subjectBusiness process
dc.subjectArtificial intelligence
dc.subjectBusiness process modeling
dc.subjectBusiness process management
dc.titleLearning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning
dc.typearticle

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