Selective ensemble method for anomaly detection based on parallel learning
Abstract Anomaly detection is a highly important task in the field of data analysis. Traditional anomaly detection approaches often strongly depend on data size, structure and features, while introducing the idea of ensemble into anomaly detection can greatly improve the generalization ability. Ense...
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| Autori principali: | , , , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Nature Portfolio
2024-01-01
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| Serie: | Scientific Reports |
| Accesso online: | https://doi.org/10.1038/s41598-024-51849-3 |
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