By Topic

Enhancing Web access using data mining techniques

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

3 Author(s)
Vaisman, A.A. ; Toronto Univ., Ont., Canada ; Dandretta, G. ; Sapia, M.

In this paper we study data mining techniques as tools for reducing the time needed to access Web pages in the environment of a corporation where users connect to the Internet through a proxy server. We add a data mining server to the traditional Web architecture. This server computes, using sequential patterns, the pages likely to be requested by the users, taking into account their Web access history. Then, the server loads these pages into the proxy's cache in order to have them available when they are actually asked for. We describe our implementation and the results obtained, showing that the average access time to a Web page can be dramatically reduced using this technique. Further, we also implemented our proposal using simple association rules, showing that sequential patterns result in a smaller and more accurate set of rules, as a consequence of taking into account the order of the requests. Finally, we discuss the differences with other prefetching proposals.

Published in:

Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on

Date of Conference:

1-5 Sept. 2003