计算机工程与应用 ›› 2013, Vol. 49 ›› Issue (15): 130-132.

• 数据库、数据挖掘、机器学习 • 上一篇    下一篇

基于属性重要性的粗糙集属性约简方法

廖启明,龙鹏飞   

  1. 长沙理工大学 计算机与通信工程学院,长沙 410114
  • 出版日期:2013-08-01 发布日期:2013-07-31

Rough set reduction method of attribute based on importance of attribute

LIAO Qiming, LONG Pengfei   

  1. School of Computer & Communication Engineering, Changsha University of Science and Technology, Changsha 410114, China
  • Online:2013-08-01 Published:2013-07-31

摘要: 信息系统中的属性约简是粗糙集知识发现的一个重要步骤。致力于研究一个信息系统中的特征选择、删除冗余属性。新的算法从属性重要性出发,采用迭代特征选择的标准,使得选择特征属性集不断缩小,获得信息系统的约简。通过实验证明该方法可行,有效。

关键词: 信息系统, 属性重要性, 属性约简, 核属性

Abstract: Attribute reduction in information system is an important step during knowledge acquisition using Rough set. This paper focuses on the research of feature selection, deleting superfluous attributes in an information system. The new algorithm begins with the attribute significance, adopting iterative feature selection standard, making the selected feature attribute set get smaller, thus it acquires the reduction of information system. The experiment demonstrates that this method is feasible and effective.

Key words: information system, attribute significance, attribute reduction, core attribute