Show simple item record

dc.contributor.authorNurminen, Miika
dc.contributor.authorHonkaranta, Anne
dc.contributor.authorKärkkäinen, Tommi
dc.date.accessioned2011-11-14T10:24:03Z
dc.date.available2011-11-14T10:24:03Z
dc.date.issued2007
dc.identifier.citationNurminen, 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
dc.identifier.isbn1-4244-0832-6
dc.identifier.otherCONVID_16512618
dc.identifier.otherTUTKAID_23789
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/36946
dc.description.abstractThis 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.languageeng
dc.language.isoeng
dc.publisherIEEE Computer Society
dc.relation.ispartofProceedings of the Workshop on Text Data Mining and Management (TDMM). April 15, Istanbul, Turkey
dc.relation.urihttp://dx.doi.org/10.1109/ICDEW.2007.4401065
dc.subject.otherprosessien hallinta
dc.subject.otherprosessitiedon analysonti
dc.subject.otherklusterointi
dc.subject.otherprocess mining
dc.subject.otherdocument clustering
dc.titleProcMiner: Advancing Process Analysis and Management
dc.typeconferenceObject
dc.identifier.urnURN:NBN:fi:jyu-2011111111674
dc.contributor.laitosTietojenkäsittelytieteiden laitosfi
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Computer Science and Information Systemsen
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.oppiaineTietotekniikkafi
dc.contributor.oppiaineMathematical Information Technologyen
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.date.updated2011-11-11T15:09:09Z
dc.relation.isbn1-4244-0832-6
dc.type.coarconference paper
dc.description.reviewstatuspeerReviewed
dc.format.pagerange760-769
dc.type.versionacceptedVersion
dc.rights.copyright© Copyright IEEE
dc.rights.accesslevelopenAccessfi
dc.subject.ysoXML
dc.subject.ysoprosessijohtaminen
jyx.subject.urihttp://www.yso.fi/onto/yso/p4021
jyx.subject.urihttp://www.yso.fi/onto/yso/p9908
dc.relation.doi10.1109/ICDEW.2007.4401065


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record