By Topic

The web software mining based on vector space model

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
$33 $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

2 Author(s)
Feijie Wang ; Beijing University of Posts and Telecommunications, China ; Zhongying Bai

The article designed a Web software mining system, discussed the techniques what used in the system and raised the solutions for issues in system. A Web crawler software has been designed and implemented according to the feature of the World Wide Web. Base on the information present by Web pages, the article improved feature selection method and key words weighted algorithm using Web text mining techniques and achieved a highly precise and efficient information mining. Finally the article used the improved mining algorithm to make a classification and clustering to Web crawler software.

Published in:

Future Information Networks, 2009. ICFIN 2009. First International Conference on

Date of Conference:

14-17 Oct. 2009