计算机科学 ›› 2016, Vol. 43 ›› Issue (Z6): 452-453.doi: 10.11896/j.issn.1002-137X.2016.6A.106

• 数据挖掘 • 上一篇    下一篇

基于GEP的分类规则挖掘

付红伟   

  1. 军事经济学院 武汉430035
  • 出版日期:2018-11-14 发布日期:2018-11-14

Classification Rule Mining Based on GEP

FU Hong-wei   

  • Online:2018-11-14 Published:2018-11-14

摘要: 分类规则挖掘方法和回归问题的区别在于分类规则挖掘的目标属性是离散的标称值,而回归问题的目标属性是连续和有序的值。主要介绍了用GEP实现分类规则挖掘的两种主要方法,并分析了如何对适应度函数进行改进以挖掘易于理解的分类规则。

关键词: GEP,分类规则,适应度函数

Abstract: Classification rule mining method and regression problems differ in that the target attribute of mining classification rules is discrete nominal value,and the target attribute of regression problem is the continuous and orderly va-lue.This article mainly introduced two main methods of classification rule mining implementd by GEP,and analyzed how to improve the fitness function to mine classification rules which is easy to understand.

Key words: GEP,Classification rule,Fitness function

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