• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2007, Vol. 29 ›› Issue (9): 106-109.

• 论文 • 上一篇    下一篇

一个基于粗糙集理论的数据挖掘模型及应用

陈云开 卢正鼎 肖尚勤   

  • 出版日期:2007-09-01 发布日期:2010-06-02

  • Online:2007-09-01 Published:2010-06-02

摘要:

本文提出一种基于粗糙集理论的数据挖掘模型,从实际数据出发,运用不同简化层次的算法导出每个层次上的信息集,最后得到规则集。在进行推理和决策分析时,按照一定算法进行匹配得出结论。另外,还给出了模拟例子说明如何建立和运用这种数据挖掘模型。

关键词: 粗糙集 数据挖掘 知识表达 算法

Abstract:

This paper presents a model of data mining based on the rough set theory, from applying various reductive level algorithms on practical data to elicit ing the information set of each level,and gets a rule set eventually. Conclusions are acquired on matching according to a certain algorithm when reasoning and making decisions. Finally, a simulated example on how to create and apply this model is given.

Key words: (rough set, data mining, knowledge representation, algorithm)