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프로세스 유사성을 이용한 워크플로우 클러스터링 : Workflow Clustering Methodology Using Structural Similarity Metrics

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dc.contributor.author정재윤-
dc.contributor.author배준수-
dc.contributor.author강석호-
dc.date.accessioned2009-08-25T23:50:14Z-
dc.date.available2009-08-25T23:50:14Z-
dc.date.issued2007-03-
dc.identifier.citationJournal of the Korean Institute of Industrial Engineers, 33(1), 99-109en
dc.identifier.issn1225-0988-
dc.identifier.urihttps://hdl.handle.net/10371/7821-
dc.description.abstractTo realize process-driven management, so many companies have been launching business process management
systems. Business process is collection of standardized and structured tasks inducing value creation of a
company. Moreover, it is recognized as one of significant intangible business assets to achieve competitive
advantages. This research introduces a novel approach of workflow process analysis, which has more and more
significance as process-aware information systems are spreading widely into a lot of companies. In this paper, a
methodology of workflow clustering based on process similarity has been proposed. The purpose of workflow
clustering is to analyze accumulated process definitions in order to assist design of new processes and
improvement of existing ones. The proposed methodology exploits measures of structural similarity of workflow
processes.The methodology has been experimented with synthetic process models for illustrating the implication
of workflow clustering.
en
dc.description.sponsorship이 논문은 2005년도 한국학술진흥재단의 지원에 의하여 연구되었음(KRF-2005-214-D00192).en
dc.language.isoko-
dc.publisher대한산업공학회 = Korean Institute of Industrial Engineersen
dc.subjectBusiness Process Analysisen
dc.subjectWorkflow Clusteringen
dc.subjectProcess Similarityen
dc.title프로세스 유사성을 이용한 워크플로우 클러스터링en
dc.title.alternativeWorkflow Clustering Methodology Using Structural Similarity Metricsen
dc.typeArticleen
dc.contributor.AlternativeAuthorJung, Jae-Yoon-
dc.contributor.AlternativeAuthorBae, Joonsoo-
dc.contributor.AlternativeAuthorKang, Suk-Ho-
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