Close category search window
 

Web Pages Clustering and Concepts Mining: An approach towards Intelligent Information Retrieval

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Fang Li ; Dept. of Comput. Sci. & Eng., Shanghai Jiaotong Univ. ; Mehlitz, M. ; Li Feng ; Huanye Sheng

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

Published in:
Cybernetics and Intelligent Systems, 2006 IEEE Conference on

Date of Conference: 7-9 June 2006

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2013 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.