SMOTE_RSB:基于粗糙集理论的SMOTE过采样方法 算法主体: 算法的主要步骤: 基于粗糙集理论的SMOTE算法以相似度作为判别依据,可细分为以下五步: 使用SMOTE算法对原数据集进行过采样,得到合成样本SyntheticInstance 将原数据集作为最终的输出数据集ResultSet 对每一个合成样本SytheticInstance(i),计算其与ResultSet中各个样本...
Ramentol, E., Caballero, Y., Bello, R., Herrera, F.: Smote-rsb*: a hybrid prepro- cessing approach based on oversampling and undersampling for high imbalanced data-sets using smote and rough sets theory. Knowledge and information systems 33(2), 245-265 (2012)...
SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory 来自 Springer 喜欢 0 阅读量: 117 作者:Enislay,Ramentol,Yailé,Caballero,Rafael,Bello,Francisco,Herrera 摘要: Imbalanced data is a common problem...