Dynamic graph embedding for outlier detection on multiple meteorological time series.
Existing dynamic graph embedding-based outlier detection methods mainly focus on the evolution of graphs and ignore the similarities among them. To overcome this limitation for the effective detection of abnormal climatic events from meteorological time series, we proposed a dynamic graph embedding...
Gardado en:
| Principais autores: | , |
|---|---|
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Public Library of Science (PLoS)
2021-01-01
|
| Series: | PLoS ONE |
| Acceso en liña: | https://doi.org/10.1371/journal.pone.0247119 |
| Tags: |
Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!
|