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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-
Γλώσσαen-
ΤίτλοςClustering healthcare processes with a robust approach en
ΔημιουργόςMatsatsinis Nikolaosen
ΔημιουργόςΜατσατσινης Νικολαοςel
ΔημιουργόςDoumpos, Michaelen
ΔημιουργόςGrigoroudis, Evangelosen
ΔημιουργόςPanagiotis Manolitzasen
ΔημιουργόςPavlos Deliasen
ΠερίληψηProcess 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
ΤύποςΠλήρης Δημοσίευση σε Συνέδριοel
ΤύποςConference Full Paperen
Άδεια Χρήσηςhttp://creativecommons.org/licenses/by/4.0/en
Ημερομηνία2015-11-04-
Ημερομηνία Δημοσίευσης2013-
Βιβλιογραφική ΑναφοράP.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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