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dc.citation.endPage 732 -
dc.citation.number 5 -
dc.citation.startPage 713 -
dc.citation.title INFORMATION SYSTEMS -
dc.citation.volume 32 -
dc.contributor.author van der Aalst, W. M. P. -
dc.contributor.author Reijers, H. A. -
dc.contributor.author Weijters, A. J. M. M. -
dc.contributor.author van Dongen, B. F. -
dc.contributor.author de Medeiros, A. K. Alves -
dc.contributor.author Song, Minseok -
dc.contributor.author Verbeek, H. M. W. -
dc.date.accessioned 2023-12-22T09:12:52Z -
dc.date.available 2023-12-22T09:12:52Z -
dc.date.created 2014-05-14 -
dc.date.issued 2007-07 -
dc.description.abstract Contemporary information systems (e.g., WfM, ERP, CRM, SCM, and B2B systems) record business events in so-called event logs. Business process mining takes these logs to discover process, control, data, organizational, and social structures. Although many researchers are developing new and more powerful process mining techniques and software vendors are incorporating these in their software, few of the more advanced process mining techniques have been tested on real-life processes. This paper describes the application of process mining in one of the provincial offices of the Dutch National Public Works Department, responsible for the construction and maintenance of the road and water infrastructure. Using a variety of process mining techniques, we analyzed the processing of invoices sent by the various subcontractors and suppliers from three different perspectives: (1) the process perspective, (2) the organizational perspective, and (3) the case perspective. For this purpose, we used some of the tools developed in the context of the ProM framework. The goal of this paper is to demonstrate the applicability of process mining in general and our algorithms and tools in particular. -
dc.identifier.bibliographicCitation INFORMATION SYSTEMS, v.32, no.5, pp.713 - 732 -
dc.identifier.doi 10.1016/j.is.2006.05.003 -
dc.identifier.issn 0306-4379 -
dc.identifier.scopusid 2-s2.0-34147190948 -
dc.identifier.uri https://scholarworks.unist.ac.kr/handle/201301/4583 -
dc.identifier.url http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=34147190948 -
dc.identifier.wosid 000246598200005 -
dc.language 영어 -
dc.publisher PERGAMON-ELSEVIER SCIENCE LTD -
dc.title Business process mining: An industrial application -
dc.type Article -
dc.description.journalRegisteredClass scopus -
dc.subject.keywordAuthor process mining -
dc.subject.keywordAuthor social network analysis -
dc.subject.keywordAuthor workflow management -
dc.subject.keywordAuthor business process management -
dc.subject.keywordAuthor business process analysis -
dc.subject.keywordAuthor data mining -
dc.subject.keywordAuthor Petri nets -
dc.subject.keywordPlus WORKFLOW -
dc.subject.keywordPlus MODELS -
dc.subject.keywordPlus MANAGEMENT -
dc.subject.keywordPlus SYSTEMS -
dc.subject.keywordPlus LOGS -

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