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Online Anomaly Detection Based on Support Vector Clustering
A two-phase online anomaly detection method based on support vector clustering (SVC) in the presence of non-stationary data is developed in this paper which permits arbitrary-shaped data clusters to be precisely treated. In the first step, offline learning is performed to achieve an appropriate dete...
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| Main Authors: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer
2015-08-01
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| Colecção: | International Journal of Computational Intelligence Systems |
| Assuntos: | |
| Acesso em linha: | https://www.atlantis-press.com/article/25868625.pdf |
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