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Bayesian network-based over-sampling method (BOSME) with application to indirect cost-sensitive learning
Traditional supervised learning algorithms do not satisfactorily solve the classification problem on imbalanced data sets, since they tend to assign the majority class, to the detriment of the minority class classification. In this paper, we introduce the Bayesian network-based over-sampling method...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9130330/ https://www.ncbi.nlm.nih.gov/pubmed/35610323 http://dx.doi.org/10.1038/s41598-022-12682-8 |