A Web document classification-approach based on fuzzy association concept

被引：0

作者：

Lei, JS ^{[1
]}

Kang, YH ^{[1
]}

Lu, CY ^{[1
]}

Yan, Z ^{[1
]}

机构：

[1] Hainan Univ, Coll Informat Sci & Technol, Haikou 570228, Peoples R China

来源：

FUZZY SYSTEMS AND KNOWLEDGE DISCOVERY, PT 1, PROCEEDINGS | 2005年 / 3613卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a method of automatically identifying topics for Web documents via a classification technique is proposed. Web documents tend to have unpredictable characteristics, i.e. differences in length, quality and authorship. Motivated by these fuzzy characteristics, we adopt the fuzzy association concept to classify the documents into some predefined categories or topics. The experimental results show that our approach yields higher classification accuracy compared to the vector space model.

引用

页码：388 / 391

页数：4

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