Computation on Attribute Importance of Classification based on Cloud Model

被引：5

作者：

Li Hesong ^{[1
]}

Zhang Guangwei ^{[2
]}

Li Deyi ^{[3
]}

Li Xiangmei ^{[4
]}

机构：

[1] Beihang Univ, Beijing, Peoples R China

[2] Beijing Univ, Posts & Telecommun, Beijing, Peoples R China

[3] Inst Elect Syst Engn, Beijing, Peoples R China

[4] JSLC, Lanzhou, Peoples R China

来源：

2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2 | 2008年

关键词：

D O I：

10.1109/CIMCA.2008.93

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Different condition attributes in classification of data sets often have different importance in relation to the decision attributes. Not all condition attributes are necessary in constructing classification rules, Excluding some attributes will not affect the classification results. Thus attribute reduction is an important pre-treatment process in classification mining. It can delete redundant attributes on the basis of maintaining steady classification abilities of decision system. This paper presents a method to calculate data sets similarity based on Cloud Model.

引用

页码：879 / +

页数：2