Näytä suppeat kuvailutiedot

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 Retrieved from http://dx.doi.org/10.1109/ICDEW.2007.4401065fi
dc.identifier.isbn1-4244-0832-6
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.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.otherprocess managementen
dc.subject.otherprocess miningen
dc.subject.otherXMLen
dc.subject.otherdocument clusteringen
dc.subject.otherprosessien hallintafi
dc.subject.otherprosessitiedon analysontifi
dc.subject.otherXMLfi
dc.subject.otherklusterointifi
dc.titleProcMiner: Advancing Process Analysis and Management
dc.typeConference paper
dc.identifier.urnURN:NBN:fi:jyu-2011111111674
dc.contributor.laitosTietojenkäsittelytieteiden laitosfi
dc.contributor.laitosTietotekniikan laitosfi
dc.contributor.laitosDepartment of Mathematical Information Technologyen
dc.contributor.laitosDepartment of Computer Science and Information Systemsen
dc.contributor.oppiaineDigitaalinen mediafi
dc.contributor.oppiaineTietotekniikkafi
dc.type.urihttp://purl.org/eprint/type/ConferencePaper
dc.identifier.doi10.1109/ICDEW.2007.4401065
dc.date.updated2011-11-11T15:09:09Z
dc.type.coarconference paper
dc.description.reviewstatuspeerReviewed
dc.format.pagerange760-769
dc.type.versionacceptedVersion
dc.rights.copyright© Copyright IEEE
dc.rights.accesslevelopenAccessfi


Aineistoon kuuluvat tiedostot

Thumbnail

Aineisto kuuluu seuraaviin kokoelmiin

Näytä suppeat kuvailutiedot