Process Mining Manifesto

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dc.catalogadorvzp
dc.contributor.authorvan der Aals, Wil
dc.contributor.authorAdriansyah1, Arya
dc.contributor.authorSepulveda Fernandez Marcos Ernesto
dc.contributor.authorArcieri, Franco
dc.contributor.authorBaier, Thomas
dc.contributor.authorBlickle, Tobias
dc.contributor.authorChandra Bose, Jagadeesh
dc.contributor.authorvan den Brand, Peter
dc.contributor.authorBrandtjen, Ronald
dc.date.accessioned2024-06-10T15:53:02Z
dc.date.available2024-06-10T15:53:02Z
dc.date.issued2012
dc.description.abstractProcess mining techniques are able to extract knowledge from event logs commonly available in today's information systems. These techniques provide new means to discover, monitor, and improve processes in a variety of application domains. There are two main drivers for the growing interest in process mining. On the one hand, more and more events are being recorded, thus, providing detailed information about the history of processes. On the other hand, there is a need to improve and support business processes in competitive and rapidly changing environments. This manifesto is created by the IEEE Task Force on Process Mining and aims to promote the topic of process mining. Moreover, by defining a set of guiding principles and listing important challenges, this manifesto hopes to serve as a guide for software developers, scientists, consultants, business managers, and end-users. The goal is to increase the maturity of process mining as a new tool to improve the (re)design, control, and support of operational business processes.
dc.description.funderPropio
dc.format.extent26 páginas
dc.fuente.origenHistorial Académico
dc.identifier.citationvan der Aalst W, Sepúlveda M, Muñoz G, et al. Process Mining Manifesto. Lecture Notes In Business Information Processing . 2012;99(2):169-194.
dc.identifier.doi10.1007/978-3-642-28108-2_19
dc.identifier.isbn978-3-642-28107-5
dc.identifier.issn1865-1348
dc.identifier.urihttp://link.springer.com/chapter/10.1007/978-3-642-28108-2_19
dc.identifier.urihttps://doi.org/10.1007/978-3-642-28108-2_19
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86663
dc.information.autorucEscuela de Ingeniería; Sepúlveda Fernández, Marcos Ernesto; 0000-0002-9467-7666; 80415
dc.issue.numero2
dc.language.isoen
dc.nota.accesocontenido parcial
dc.pagina.final194
dc.pagina.inicio169
dc.revistaLecture Notes in Business Information Processing
dc.rightsacceso restringido
dc.subjectComputer science
dc.subjectInformation systems
dc.subjectInterdisciplinary applications
dc.subjectSoftware engineering
dc.subject.ddc620
dc.subject.deweyIngeniería
dc.titleProcess Mining Manifesto
dc.typeartículo
dc.volumen99
sipa.codpersvinculados80415
sipa.trazabilidadHistorial Académico;09-07-2021
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