Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/CDD0359F-7088-42EC-A4C5-1873F2339420 | - |
| Γλώσσα | en | - |
| Τίτλος | Clustering healthcare processes with a robust approach | en |
| Δημιουργός | Matsatsinis Nikolaos | en |
| Δημιουργός | Ματσατσινης Νικολαος | el |
| Δημιουργός | Doumpos, Michael | en |
| Δημιουργός | Grigoroudis, Evangelos | en |
| Δημιουργός | Panagiotis Manolitzas | en |
| Δημιουργός | Pavlos Delias | en |
| Περίληψη | Process 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 |
| Τύπος | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Τύπος | Conference Full Paper | en |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2015-11-04 | - |
| Ημερομηνία Δημοσίευσης | 2013 | - |
| Βιβλιογραφική Αναφορά | P.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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