A New Over-sample Method Based on Distribution Density

Kuoyi Shao1; Yun Zhai2; Haifeng Sui1; Changsheng Zhang3; Nan Ma4

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A New Over-sample Method Based on Distribution Density

机译：一种基于分布密度的新型样本方法

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—A new method was proposed for leaning from the imbalanced dataset based the samples distribution density in this paper. In the proposed scheme, a model of samples distribution density was designed, followed by the improved smote progress SDD-SMOTE where we smoted the minority samples according to the samples distribution density. Cross-validation results show that proposed SDD-SMOTE method to some extent improves the minority prediction in both the recall and the precision metrics.

机译：-A基于本文基于样品分布密度的基于样品分布密度，提出了新方法。在所提出的方案中，设计了一种样本分布密度的模型，然后改善的麦图进展SDD-SDOTE根据样品分布密度粉刷少数群体样品。交叉验证结果表明，在某种程度上提出了SDD-Smote方法，从某种程度上提高了召回和精密度量的少数群体预测。

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《Journal of Computers》 |2014年第2期|共8页
作者
Kuoyi Shao1; Yun Zhai2; Haifeng Sui1; Changsheng Zhang3; Nan Ma4;
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机译：常规从头算和密度泛函方法得出的密度分布的量子模拟方法的比较分析
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A New Over-sample Method Based on Distribution Density

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