ProcMiner: Advancing Process Analysis and Management

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dc.contributor.author Nurminen, Miika
dc.contributor.author Honkaranta, Anne
dc.contributor.author Kärkkäinen, Tommi
dc.date.accessioned 2011-11-14T10:24:03Z
dc.date.available 2011-11-14T10:24:03Z
dc.date.issued 2007
dc.identifier.citation Nurminen, M., Honkaranta, A. & Kärkkäinen, T. (2007). ProcMiner: Advancing Process Analysis and Management. In Proceedings of the Workshop on Text Data Mining and Management (TDMM). April 15, Istanbul, Turkey. (pp. 760-769). Istanbul, Turkey: IEEE Computer Society. doi:10.1109/ICDEW.2007.4401065 Retrieved from http://dx.doi.org/10.1109/ICDEW.2007.4401065 fi
dc.identifier.isbn 1-4244-0832-6
dc.identifier.other TUTKAID_23789
dc.identifier.uri http://hdl.handle.net/123456789/36946
dc.description.abstract This paper contributes both to research and practice on process mining. Previous research on process mining has focused on mining patterns from event log files to generate process models. The process mining approach adopted in this paper is focused on producing patterns about process models, not the models themselves. The approach is demonstrated by ProcMiner -an explorative research prototype for management, consolidating, publishing, retrieving, and analyzing process models. Content-based document clustering is applied to process models represented as XML database in order to find topical groups from models. In practice, organizations face numerous challenges in managing their process models. The models may be heterogeneous or ambiguous. The modeling software may change over time or due to differences in departmental purchases. ProcMiner was used in quality system development initiative at the University of Jyvaskyla The findings support previous model engineering research, showing that multiple actions are needed to ensure consistency of process models, and to make them efficiently manageable.
dc.language.iso eng
dc.publisher IEEE Computer Society
dc.relation.uri http://dx.doi.org/10.1109/ICDEW.2007.4401065
dc.rights © Copyright IEEE
dc.subject.other prosessien hallinta fi
dc.subject.other prosessitiedon analysonti fi
dc.subject.other XML fi
dc.subject.other klusterointi fi
dc.subject.other process management en
dc.subject.other process mining en
dc.subject.other XML en
dc.subject.other document clustering en
dc.title ProcMiner: Advancing Process Analysis and Management
dc.type Conference paper en
dc.identifier.urn URN:NBN:fi:jyu-2011111111674
dc.contributor.laitos Tietojenkäsittelytieteiden laitos fi
dc.contributor.laitos Tietotekniikan laitos fi
dc.contributor.laitos Department of Mathematical Information Technology en
dc.contributor.laitos Department of Computer Science and Information Systems en
dc.contributor.oppiaine digitaalinen media fi
dc.contributor.oppiaine tietotekniikka fi
jyx.tutka.ksname Proceedings of the Workshop on Text Data Mining and Management (TDMM). April 15, Istanbul, Turkey
jyx.tutka.pagetopage 760-769
dc.type.uri http://purl.org/eprint/type/ConferencePaper
dc.identifier.doi 10.1109/ICDEW.2007.4401065
dc.date.updated 2011-11-11T15:09:09Z
dc.description.version Post-print version
eprint.status http://purl.org/eprint/type/status/PeerReviewed

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