Unbalanced Data Classification Based on Hesitant Fuzzy Decision Tree
In order to optimize the classification effect of unbalanced data,an improved fuzzy decision tree algorithm is proposed combining the hesitant fuzzy set theory and the decision tree algorithm.The unbalanced data is oversampled by the SMOTE algorithm,the cluster center point of each attribute is obta...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Editorial Office of Computer Engineering
2019-08-01
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| coleção: | Jisuanji gongcheng |
| Assuntos: | |
| Acesso em linha: | https://www.ecice06.com/fileup/1000-3428/PDF/20190813.pdf |
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