Conformance checking in the large: partitioning and topology

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/20301

dc.contributor	Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics
dc.contributor	Universitat Politècnica de Catalunya. ALBCOM - Algorismia, Bioinformàtica, Complexitat i Mètodes Formals
dc.contributor.author	Muñoz Gama, Jorge
dc.contributor.author	Carmona Vargas, Josep
dc.contributor.author	Van der Aalst, Wil M. P.
dc.date	2012
dc.identifier.citation	Muñoz, J.; Carmona, J.; Van der Aalst , W.M.P. Conformance checking in the large: partitioning and topology. A: International Conference on Business Process Management. "Proceedings 11th International Conference, BPM 2013". Clermont-Ferrand: 2012, p. 130-145.
dc.identifier.citation	978-3-642-40175-6
dc.identifier.citation	10.1007/978-3-642-40176-3_11
dc.identifier.uri	http://hdl.handle.net/2117/20301
dc.language.iso	eng
dc.relation	http://link.springer.com/chapter/10.1007%2F978-3-642-40176-3_11
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Informàtica::Enginyeria del software
dc.subject	Information systems -- Business
dc.subject	Topology Data mining Enterprise resource management
dc.subject	Mineria de dades
dc.subject	Informació -- Sistemes d'emmagatzematge i recuperació -- Empreses
dc.title	Conformance checking in the large: partitioning and topology
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Best Student Paper Award, 11th. International Conference on Business Process Management.
dc.description.abstract	The torrents of event data generated by today’s systems are an important enabler for process mining. However, at the same time, the size and variability of the resulting event logs are challenging for today’s process mining techniques. This paper focuses on “conformance checking in the large” and presents a novel decomposition technique that partitions larger processes into sets of subprocesses that can be analyzed more easily. The resulting topological representation of the partitioning can be used to localize conformance problems. Moreover, we provide techniques to refine the decomposition such that similar process fragments are not considered twice during conformance analysis. All the techniques have been implemented in ProM, and experimental results are provided.
dc.description.abstract	Peer Reviewed
dc.description.abstract	Award-winning

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