Institutional Repository
Technical University of Crete
Technical University of Crete
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| URI | http://purl.tuc.gr/dl/dias/CDD0359F-7088-42EC-A4C5-1873F2339420 | - |
| Language | en | - |
| Title | Clustering healthcare processes with a robust approach | en |
| Creator | Matsatsinis Nikolaos | en |
| Creator | Ματσατσινης Νικολαος | el |
| Creator | Doumpos, Michael | en |
| Creator | Grigoroudis, Evangelos | en |
| Creator | Panagiotis Manolitzas | en |
| Creator | Pavlos Delias | en |
| Content Summary | 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 |
| Type of Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
| Type of Item | Conference Full Paper | en |
| License | http://creativecommons.org/licenses/by/4.0/ | en |
| Date of Item | 2015-11-04 | - |
| Date of Publication | 2013 | - |
| Bibliographic Citation | 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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