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Clustering healthcare processes with a robust approach

Matsatsinis Nikolaos, Doumpos, Michael, Grigoroudis, Evangelos, Panagiotis Manolitzas, Pavlos Delias

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URIhttp://purl.tuc.gr/dl/dias/CDD0359F-7088-42EC-A4C5-1873F2339420-
Languageen-
TitleClustering healthcare processes with a robust approach en
CreatorMatsatsinis Nikolaosen
CreatorΜατσατσινης Νικολαοςel
CreatorDoumpos, Michaelen
CreatorGrigoroudis, Evangelosen
CreatorPanagiotis Manolitzasen
CreatorPavlos Deliasen
Content SummaryProcess Mining has been proved to be an effective approach to discover process models from event logs. However, when a highly diversified behavior is allowed (like in a healthcare environment) mining a single model could yield pointless results. One way to tackle this diversity is clustering the log into coherent groups. In this work we propose a robust spectral clustering approach. The spectral approach let one with greater flexibility in representing data (a similarity measure is enough) while the proposed robust technique can handle outliers, a common occurrence in healthcare processes. en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-04-
Date of Publication2013-
Bibliographic CitationP.Delias, M. Doumpos, P. Manolitzas, E. Grigoroudis, N. Matsatsinis," Clustering healthcare processes with a robust approach,"in 26th European Conference on Operational Research,2013.en

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