GraphTS: Graph-represented time series for subsequence anomaly detection
Automatic detection of subsequence anomalies (i.e., an abnormal waveform denoted by a sequence of data points) in time series is critical in a wide variety of domains. However, most existing methods for subsequence anomaly detection often require knowing the length and the total number of anomalies...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science (PLoS)
2023-01-01
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| coleção: | PLoS ONE |
| Acesso em linha: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10431630/?tool=EBI |
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