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The Research of Imbalanced Data Set of Sample Sampling Method Based on K-Means Cluster and Genetic Algorithm

机译：基于K-Means聚类和遗传算法的样本采样方法不平衡数据集研究

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Yong Yang;
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年度 2012
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1. Imbalanced Data Set CSVM Classification Method Based on Cluster Boundary Sampling [J] . Li Peng, Liang Tian-ge, Zhang Kai-hui Mathematical Problems in Engineering . 2016,第pta8期

机译：基于聚类边界采样的不平衡数据集CSVM分类方法
2. An automatic sampling ratio detection method based on genetic algorithm for imbalanced data classification [J] . Zheng Ming, Li Tong, Sun Liping, Knowledge-Based Systems . 2021,第Mara15期

机译：一种基于基于遗传算法的自动采样比检测方法
3. ENHANCING THE PERFORMANCE OF SMOTE ALGORITHM BY USING ATTRIBUTE WEIGHTING SCHEME AND NEW SELECTIVE SAMPLING METHOD FOR IMBALANCED DATA SET [J] . TORA FAHRUDIN, JOKO LIANTO BULIALI, CHASTINE FATICHAH International Journal of Innovative Computing Information and Control . 2019,第2期

机译：使用属性加权方案和新的选择采样方法来增强Smote算法的性能
4. The Research of Imbalanced Data Set of Sample Sampling Method Based on K-Means Cluster and Genetic Algorithm [C] . Yang Yong International Conference on Future Electrical Power and Energy Systems . 2014

机译：基于K-MEARE簇和遗传算法的样品采样方法不平衡数据集的研究
5. Alleviating class imbalance using data sampling: Examining the effects on classification algorithms. [D] . Napolitano, Amri E. 2006

机译：使用数据采样缓解类不平衡：检查对分类算法的影响。
6. Prediction Is a Balancing Act: Importance of Sampling Methods to Balance Sensitivity and Specificity of Predictive Models Based on Imbalanced Chemical Data Sets [O] . Priyanka Banerjee, Frederic O. Dehnbostel, Robert Preissner 2018

机译：预测是一种平衡行为：基于不平衡化学数据集的采样方法对平衡预测模型的敏感性和特异性的重要性
7. Imbalanced Data Set CSVM Classification Method Based on Cluster Boundary Sampling [O] . Peng Li, Tian-ge Liang, Kai-hui Zhang 2016

机译：基于群集边界采样的Imbalanced数据集CSVM分类方法
8. Sampling Within k-Means Algorithm to Cluster Large Datasets [R] . Bejarano, J., Bose, K., Brannan, T., 2011

机译：在k-means算法中采样以聚类大数据集

The Research of Imbalanced Data Set of Sample Sampling Method Based on K-Means Cluster and Genetic Algorithm

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