Web pages clustering and concepts mining: An approach towards intelligent information retrieval

被引：0

作者：

Li, Fang ^{[1
]}

Mehlitz, Martin ^{[1
]}

Fen, Li ^{[1
]}

Sheng, Huanye ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, Dept Comp Sci & Engn, Shanghai 200030, Peoples R China

来源：

2006 IEEE CONFERENCE ON CYBERNETICS AND INTELLIGENT SYSTEMS, VOLS 1 AND 2 | 2006年

关键词：

information retrieval; clustering; concept mining;

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：

The amount of information on the web is growing at an exponential rate. Information overload has brought a heavy burden for modern life. Keyword based search engines no long fill the needs of many people. This paper introduces an approach towards intelligent information retrieval by providing clustered web pages and minded concepts based on results of search engines. Web page clustering is based on SVD (Singular Value Decomposition), concepts mining is implemented with a revision of Apriori algorithm. Experiments on three different kinds of keyword as queries to information retrieval have showed a promising result.

引用

页码：522 / +

页数：3

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