OFCOD: On the Fly Clustering Based Outlier Detection Framework
In data mining, outlier detection is a major challenge as it has an important role in many applications such as medical data, image processing, fraud detection, intrusion detection, and so forth. An extensive variety of clustering based approaches have been developed to detect outliers. However they...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
MDPI AG
2020-12-01
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| Col·lecció: | Data |
| Matèries: | |
| Accés en línia: | https://www.mdpi.com/2306-5729/6/1/1 |
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