By Topic

Web documents clustering with interest links

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)

Web documents clustering is a kind of effective Web mining technique. This paper proposes a novel Web documents clustering algorithm from the perspective of Web usage through analyzing WWW cache, in which Web documents reflect user's recent interests. According to the rich semantic information embedded in hyperlinks in Web documents, we first extracts hyperlinks from Web documents and the Web documents in WWW cache is modeled as an undirected Web graph in our approach. Then the clustering algorithm based on the Web graph model is given. Finally, Experimental results verify that the algorithm is efficient and feasible.

Published in:

Service-Oriented System Engineering, 2005. SOSE 2005. IEEE International Workshop

Date of Conference:

20-21 Oct. 2005