Business process analysis in advertising: An extension to a methodology based on process mining projects

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dc.contributor.authorOsses, A. S.
dc.contributor.authorArias, M.
dc.contributor.authorDa Silva, Luiz Quelves
dc.contributor.authorRojas Córdoba, Eric Eduardo
dc.contributor.authorCobo, B. F.
dc.contributor.authorMuñoz Gama, Jorge
dc.contributor.authorSepúlveda Fernández, Marcos Ernesto
dc.date.accessioned2022-05-11T20:05:45Z
dc.date.available2022-05-11T20:05:45Z
dc.date.issued2016
dc.description.abstractNowadays organizations generate large amount of data. Only a few make a good use to optimize the performance of the business. Process mining appears as a branch of the data science that tries to understand the actual operational processes in the organizations through different algorithms, allowing the discovery of process models to give insight of the processes and understand how they can be improved. In this work different process mining techniques are applied to a company dedicated to the advertisement market, specifically the process of dealing with contract issues with customers. The Process Mining Project Methodology was followed to execute a case study. Additional to the basic methodology, elements from the others areas of studies were added to generate better results and have a better understanding of the problem. The case study includes three scenarios with three different hypotheses that were validated through our method.
dc.fuente.origenIEEE
dc.identifier.doi10.1109/SCCC.2016.7836000
dc.identifier.isbn978-1509033393
dc.identifier.urihttps://doi.org/10.1109/SCCC.2016.7836000
dc.identifier.urihttps://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7836000
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/63770
dc.information.autorucEscuela de ingeniería ; Da Silva, Luiz Quelves ; S/I ; 225674
dc.information.autorucEscuela de ingeniería ; Rojas Córdoba, Eric Eduardo ; S/I ; 224862
dc.information.autorucEscuela de ingeniería ; Muñoz Gama, Jorge ; S/I ; 249881
dc.information.autorucEscuela de ingeniería ; Sepúlveda Fernández, Marcos Ernesto ; S/I ; 80415
dc.language.isoen
dc.nota.accesoContenido parcial
dc.publisherIEEE
dc.relation.ispartofInternational Conference of the Chilean Computer Science Society (35° : 2016 : Valparaíso, Chile)
dc.rightsacceso restringido
dc.subjectData mining
dc.subjectOrganizations
dc.subjectData models
dc.subjectSilicon
dc.subjectPROM
dc.subjectAdvertising
dc.titleBusiness process analysis in advertising: An extension to a methodology based on process mining projectses_ES
dc.typecomunicación de congreso
sipa.codpersvinculados225674
sipa.codpersvinculados224862
sipa.codpersvinculados249881
sipa.codpersvinculados80415
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