| 注册
首页|期刊导航|东华大学学报(英文版)|Applied Approaches of Rough Set Theory to Web Mining

Applied Approaches of Rough Set Theory to Web Mining

SUN Tie-li JIAO Wei-wei

东华大学学报(英文版)2006,Vol.23Issue(6):117-120,4.
东华大学学报(英文版)2006,Vol.23Issue(6):117-120,4.

Applied Approaches of Rough Set Theory to Web Mining

Applied Approaches of Rough Set Theory to Web Mining

SUN Tie-li 1JIAO Wei-wei2

作者信息

  • 1. School of Computer Science, Northeast Normal University, Changchun 130024
  • 2. School of Computer Science and Enginerring, Liaoning University of Technology, Jinzhou 121001
  • 折叠

摘要

Abstract

Rough set theory is a new soft computing tool, and has received much attention of researchers around the world. It can deal with incomplete and uncertain information. Now,it has been applied in many areas successfully. This paper introduces the basic concepts of rough set and discusses its applications in Web mining. In particular, some applications of rough set theory to intelligent information processing are emphasized.

关键词

rough set/Web mining/knowledge discovery/uncertainty

Key words

rough set/Web mining/knowledge discovery/uncertainty

分类

矿业与冶金

引用本文复制引用

SUN Tie-li,JIAO Wei-wei..Applied Approaches of Rough Set Theory to Web Mining[J].东华大学学报(英文版),2006,23(6):117-120,4.

东华大学学报(英文版)

1672-5220

访问量5
|
下载量0
段落导航相关论文