At present, researches on class imbalance problems mainly focus on two aspects: dataset processing and classification method improving.

目前国际上对类别不平衡数据的研究主要集中在两个个层面：对数据集的处理和对分类算法的改进。

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In order to improve the class accuracy of small number of samples caused by the imbalance of sample number, weight of sample difference is introduced.

首先为克服由于样本数量不平衡性引起的小样本类别精度差的问题，引入由于样本差异的权重；

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Abstract: Recently, the problem of Class-imbalance has become a hotspot in machine learning and data mining.

摘要：最近在机器学习和数据挖掘上，非平衡类问题成为了一个研究热点。

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Abstract: Recently, the problem of Class-imbalance has become a hotspot in machine learning and data mining.

摘要：最近在机器学习和数据挖掘上，非平衡类问题成为了一个研究热点。

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