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EHSBoost: Enhancing ensembles for imbalanced data-sets by evolutionary hybrid-sampling

机译:EHSBoost:通过进化混合采样增强不平衡数据集的集成

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摘要

To binary problems, class-imbalanced data are defined as datasets in which the instance number of two classes is extremely different. Classifiers based on undersampling and oversampling were proposed to solve the class imbalanced problems. Techniques based on ensemble of classifiers has been successful for class imbalance problems. In this paper, we proposed an ensemble based approach EHSBoost. EHSBoost is based on EUSBoost, which combines the EUS with Boosting algorithm. The goal of our proposed algorithm is to take advantage of undersampling and oversampling. We consider the usage of hybrid sampling in a supervised manner to improve the accuracy of the weak learner. We have conducted experiments on 16 datasets. These datasets are from the KELL data repository. Three evaluation metrics are used to evaluate the proposed method and the state of art counterparts. Experiments show that, the proposed ensembles algorithm based on evolution hybrid sampling method has significant advantage over other methods for classification of class imbalance datasets.
机译:对于二元问题,类不平衡数据被定义为两个类的实例数极为不同的数据集。提出了基于欠采样和过采样的分类器,以解决类不平衡问题。基于分类器集成的技术已经成功地解决了类不平衡问题。在本文中,我们提出了一种基于整体的方法EHSBoost。 EHSBoost基于EUSBoost,它结合了EUS和Boosting算法。我们提出的算法的目标是利用欠采样和过采样的优势。我们考虑以有监督的方式使用混合采样,以提高弱学习者的准确性。我们已经对16个数据集进行了实验。这些数据集来自KELL数据存储库。使用三个评估指标来评估所提出的方法和相应的技术水平。实验表明,所提出的基于进化混合采样的集成算法在分类失衡数据集分类中具有明显的优势。

著录项

  • 来源
  • 会议地点 Shenzhen(CN)
  • 作者单位

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, 518055, People's Republic of China;

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, 518055, People's Republic of China;

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, 518055, People's Republic of China;

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, 518055, People's Republic of China;

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, 518055, People's Republic of China;

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, 518055, People's Republic of China;

    School of Computer Science and Technology, Harbin Institute of Technology Shenzhen Graduate School, Shenzhen, Guangdong, 518055, People's Republic of China;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Security; Pattern analysis; Cybernetics; Iron; Zirconium;

    机译:安全性;模式分析;控制论;铁;锆;;

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