Name
Abstract | ||
|---|---|---|
•We present an effective way to summarize patients’ pathways.•A new spectral approach that emphasizes robustness is proposed for trace clustering.•The method is applied to the emergency department of a public hospital. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1016/j.knosys.2015.04.012 | Knowledge-Based Systems |
Keywords | Field | DocType |
Process mining,Clustering,Robustness,Knowledge discovery,Healthcare management | Data science,Data mining,Computer science,Robustness (computer science),Artificial intelligence,Cluster analysis,Health administration,Process mining,Business process,Process modeling,Outlier,Knowledge extraction,Machine learning | Journal |
Volume | Issue | ISSN |
84 | C | 0950-7051 |
Citations | PageRank | References |
14 | 0.85 | 34 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pavlos Delias | 1 | 72 | 12.00 |
| Michael Doumpos | 2 | 757 | 51.71 |
| Evangelos Grigoroudis | 3 | 239 | 34.53 |
| Panagiotis Manolitzas | 4 | 15 | 1.53 |
| Nikolaos F. Matsatsinis | 5 | 260 | 27.74 |