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dc.contributor.authorDelias, Pavlos
dc.contributor.authorGrigori, Daniela
dc.contributor.authorMouhoub, Mohamed Lamine
dc.contributor.authorTsoukiàs, Alexis
HAL ID: 740501
ORCID: 0000-0001-5772-3988
dc.date.accessioned2017-01-17T15:56:35Z
dc.date.available2017-01-17T15:56:35Z
dc.date.issued2015
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/16186
dc.descriptionLecture Notes in Business Information Processing, vol. 221
dc.language.isoenen
dc.subjectprocess mining
dc.subjectdecision analysis
dc.subject.ddc003en
dc.subject.classificationjelC.C4.C44en
dc.titleDiscovering Characteristics that Affect Process Control Flow
dc.typeChapitre d'ouvrage
dc.description.abstractenIn flexible environments like healthcare and customer service, business processes are executed with high variability. Often, this is because cases’ characteristics vary. However, it is difficult to correlate process flow with characteristics because characteristics may refer to different perspectives, their number can be real big or even because deep domain knowledge may be required to state hypotheses. The goal of this paper is to propose an effective exploratory tool for discovering the characteristics that are causing the process variation. To this end, we propose a process mining approach. First, we apply a clustering approach based on Latent Class Analysis to identify subtypes of related cases based on the case-wise process characteristics. Then, a process model is discovered for each cluster and through a model similarity step, we are able to recommend the characteristics that mostly diversify the flow. Finally, to validate our methodology, we applied it to both simulated and real datasets.
dc.identifier.citationpages51-63
dc.relation.ispartoftitleDecision Support Systems IV - Information and Knowledge Management in Decision Processes: Euro Working Group Conferences, EWG-DSS 2014, Toulouse, France, June 10-13, 2014, and Barcelona, Spain, July 13-18, 2014, Revised Selected and Extended Papers
dc.relation.ispartofeditorI. Linden, S. Liu, F. Dargam, J. Hernández
dc.relation.ispartofpublnameSpringer
dc.relation.ispartofpublcityBerlin Heidelberg
dc.relation.ispartofdate2015
dc.relation.ispartofurl10.1007/978-3-319-21536-5
dc.subject.ddclabelRecherche opérationnelleen
dc.relation.ispartofisbn978-3-319-21535-8
dc.relation.forthcomingnonen
dc.identifier.doi10.1007/978-3-319-21536-5_5
dc.description.ssrncandidatenon
dc.description.halcandidateoui
dc.description.readershiprecherche
dc.description.audienceInternational
dc.date.updated2017-01-17T16:00:38Z
hal.identifierhal-01438432*
hal.version1*
hal.update.actionupdateFiles*


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