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dc.contributor.authorLiesaputra, Veronica
dc.contributor.authorYongchareon, Dr. Sira
dc.contributor.authorChaisiri, Sivadon
dc.date.accessioned2016-05-10T20:04:34Z
dc.date.available2016-05-10T20:04:34Z
dc.date.issued2015-06
dc.identifier.urihttps://hdl.handle.net/10652/3362
dc.description.abstractSeveral works have proposed process mining techniques to discover process models from event logs. With the existing works, mined models can be built based on analyzing the relationship between any two events seen in event logs. Being restricted by that, they can only handle special cases of routing constructs and often produce unsound models that do not cover all of the traces in the logs. In this paper, we propose a novel technique for process mining based on using a pattern recognition technique called Maximal Pattern Mining (MPM). Our MPM technique can handle loops (of any length), duplicate tasks, non-free choice constructs, and long distance dependencies. Furthermore, by using the MPM, the discovered models are generally much easier to understand.en_NZ
dc.language.isoenen_NZ
dc.publisherConference on Advanced Information Systems Engineering (CAiSE)en_NZ
dc.relation.urihttp://caise2015.dsv.su.se/en_NZ
dc.rightsAll rights reserveden_NZ
dc.subjectMaximal Pattern Mining (MPM)en_NZ
dc.subjectprocess miningen_NZ
dc.subjectdiscovery algorithmsen_NZ
dc.titleA process mining technique using pattern recognitionen_NZ
dc.typeConference Contribution - Paper in Published Proceedingsen_NZ
dc.rights.holderConference on Advanced Information Systems Engineering (CAiSE)en_NZ
dc.subject.marsden080109 Pattern Recognition and Data Miningen_NZ
dc.identifier.bibliographicCitationLiesaputra, V., Yongchareon, S., & Chaisiri, S. (2015, June). A Process Mining Technique Using Pattern Recognition. In J. Grabis and K. Sandkuhl (Ed.), Proceedings of the CAiSE Forum, 27th International Conference on Advanced Information Systems Engineering (CAiSE) (pp.57-64)en_NZ
unitec.institutionUnitec Institute of Technologyen_NZ
unitec.publication.spage57en_NZ
unitec.publication.lpage64en_NZ
unitec.publication.volume1367en_NZ
unitec.publication.titleProceedings of the CAiSE Forum, 27th International Conference on Advanced Information Systems Engineering (CAiSE)en_NZ
unitec.conference.titleCAiSE Forum, 27th International Conference on Advanced Information Systems Engineering (CAiSE)en_NZ
unitec.conference.orgConference on Advanced Information Systems Engineering (CAiSE)en_NZ
unitec.conference.locationStockholm, Swedenen_NZ
unitec.conference.sdate2015-06-08
unitec.conference.edate2015-06-12
unitec.peerreviewedyesen_NZ
dc.contributor.affiliationUnitec Institute of Technologyen_NZ
dc.contributor.affiliationShinawatra University (Thailand)en_NZ
unitec.identifier.roms58160en_NZ
unitec.identifier.roms58276
unitec.institution.studyareaComputing


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