Cart (Loading....) | Create Account
Close category search window
 

Mining sequential association-rule for improving Web document prediction

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)
Wang Yong ; Dept. of Comput. & Software, Northwestern Polytech. Univ., Xi''an, China ; Li Zhanhuai ; ZhangYang

Currently, researchers have proposed several sequential association-rule models for predicting the next HTTP request. These researches focus on using sequence and temporal constrains for pruning to improve prediction precision. In this paper, we provide a comparative study on different kinds of sequential association rules for Web document prediction. Firstly, we give algorithms on mining sequential association rules, which is based on different sequence and temporal constrains combination. Then, the performance of all such algorithms has been compared on a real Web log dataset. Based on the comparison, by the method of variance analysis, we explore the effect of sequence and temporal information on influencing the precision of prediction. We show that the sequence constrains, the temporal constrains and the interaction between these two constrains can affect the precision of prediction. Furthermore, temporal constrains can affect more than sequence constrains. These results show light on the future research on improving the precisions of prediction.

Published in:

Computational Intelligence and Multimedia Applications, 2005. Sixth International Conference on

Date of Conference:

16-18 Aug. 2005

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 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.