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A fuzzy rough set approach for incremental feature selection on hybrid information systems

机译：混合信息系统增量特征选择的模糊粗糙集方法

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摘要

In real-applications, there may exist many kinds of data (e.g., boolean, categorical, real-valued and set-valued data) and missing data in an information system which is called as a Hybrid Information System (HIS). A new Hybrid Distance (HD) in HIS is developed based on the value difference metric, and a novel fuzzy rough set is constructed by combining the HD distance and the Gaussian kernel. Considering the information systems often vary with time, the updating mechanisms for attribute reduction (feature selection) are analyzed with the variation of the attribute set. Fuzzy rough set approaches for incremental feature selection on HIS are presented. Then two corresponding incremental algorithms are proposed, respectively. Finally, extensive experiments on eight datasets from UCI and an artificial dataset show that the incremental approaches significantly outperform non-incremental approaches with feature selection in the computational time.
机译：在实际应用中，在称为混合信息系统（HIS）的信息系统中可能存在许多类型的数据（例如，布尔，分类，实值和设置值数据）和丢失数据。基于值差度量，开发了一种新的HIS中的混合距离（HD），并结合了HD距离和高斯核，构造了一种新的模糊粗糙集。考虑到信息系统通常会随时间变化，因此会根据属性集的变化来分析用于属性缩减（功能选择）的更新机制。提出了基于模糊粗糙集的HIS增量特征选择方法。然后分别提出了两种相应的增量算法。最后，对UCI的八个数据集和一个人工数据集进行的广泛实验表明，在计算时间内，增量式方法的性能明显优于非增量式方法。

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  • 来源
    《Fuzzy sets and systems》 |2015年第1期|39-60|共22页
  • 作者

    Anping Zeng; Tianrui Li; Dun Liu; Junbo Zhang; Hongmei Chen;

  • 作者单位

    School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China,School of Computer and Information Engineering, Yibin University, Yibin 644007, China;

    School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China;

    School of Economics and Management, Southwest Jiaotong University, Chengdu 610031, China;

    School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China;

    School of Information Science and Technology, Southwest Jiaotong University, Chengdu 610031, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Fuzzy rough sets; Incremental learning; Feature selection; Hybrid information systems; Big data;

    机译：模糊粗糙集;增量学习;功能选择;混合信息系统;大数据;

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