An Oversampling Method for Class Imbalance Problems on Large Datasets
Several oversampling methods have been proposed for solving the class imbalance problem. However, most of them require searching the <i>k</i>-nearest neighbors to generate synthetic objects. This requirement makes them time-consuming and therefore unsuitable for large datasets. In this paper, an ove...
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| Autores principales: | , , |
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| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
MDPI AG
2022-03-01
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| Colección: | Applied Sciences |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2076-3417/12/7/3424 |
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