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Fuzzy-rough feature selection accelerator

机译：模糊粗糙特征选择加速器

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摘要

Fuzzy rough set method provides an effective approach to data mining and knowledge discovery from hybrid data including categorical values and numerical values. However, its time-consumption is very intolerable to analyze data sets with large scale and high dimensionality. Many heuristic fuzzy-rough feature selection algorithms have been developed however, quite often, these methods are still computationally time-consuming. For further improvement, we propose an accelerator, called forward approximation, which combines sample reduction and dimensionality reduction together. The strategy can be used to accelerate a heuristic process of fuzzy-rough feature selection. Based on the proposed accelerator, an improved algorithm is designed. Through the use of the accelerator, three representative heuristic fuzzy-rough feature selection algorithms have been enhanced. Experiments show that these modified algorithms are much faster than their original counterparts. It is worth noting that the performance of the modified algorithms becomes more visible when dealing with larger data sets.
机译：模糊粗糙集方法为从包含分类值和数值的混合数据中进行数据挖掘和知识发现提供了一种有效的方法。但是，它的时间消耗对于分析大规模和高维度的数据集是非常难以忍受的。已经开发了许多启发式模糊粗糙特征选择算法，但是，这些方法经常在计算上仍然很耗时。为了进一步改进，我们提出了一种加速器，称为前向逼近，它将样本减少和降维结合在一起。该策略可用于加速模糊粗糙特征选择的启发式过程。基于提出的加速器，设计了一种改进的算法。通过使用加速器，增强了三种代表性的启发式模糊粗糙特征选择算法。实验表明，这些改进的算法比原始算法要快得多。值得注意的是，当处理更大的数据集时，修改后的算法的性能变得更加明显。

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  • 来源
    《Fuzzy sets and systems》 |2015年第1期|61-78|共18页
  • 作者

    Yuhua Qian; Qi Wang; Honghong Cheng; Jiye Liang; Chuangyin Dang;

  • 作者单位

    Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, 030006, Shanxi, China,Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong;

    Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, 030006, Shanxi, China;

    Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, 030006, Shanxi, China;

    Key Laboratory of Computational Intelligence and Chinese Information Processing of Ministry of Education, Shanxi University, Taiyuan, 030006, Shanxi, China;

    Department of Manufacturing Engineering and Engineering Management, City University of Hong Kong, Hong Kong;

  • 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

    Rough sets; Fuzzy rough sets; Feature selection; Forward approximation; Accelerator; Granular computing;

    机译：粗糙集;模糊粗糙集;功能选择;正向逼近;加速器;粒度计算;

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