Share Email Print
cover

Proceedings Paper

Adapting the right web pages to the right users
Author(s): Xiong Hui; Sam Yuan Sung; Stephen Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

With the explosive use of the Internet, there is an ever- increasing volume of Web usage data being generated and warehoused in numerous successful Web sites. Analyzing Web usage data can help Web developers to improve the organization and presentation of their Web sites. Considering the fact that mining for patterns and rules in market basket data is well studied in data mining field, we provide a mapping approach, which can transform Web usage data into the form like market basket data. Using our model, all the methods developed by data mining research groups can be directly applied on Web usage data without much change. Existing methods for knowledge discovery in Web logs are restricted by the difficulty of getting the complete and reliable Web usage data and effectively identifying user sessions using current Web server log mechanism. The problem is due to Web caching and the existence of proxy servers. As an effort to remedy this problem, we built our own Web server log mechanism that can effectively capture user access behavior and will not be deliberately bypassed by proxy servers and end users.

Paper Details

Date Published: 6 April 2000
PDF: 8 pages
Proc. SPIE 4057, Data Mining and Knowledge Discovery: Theory, Tools, and Technology II, (6 April 2000); doi: 10.1117/12.381754
Show Author Affiliations
Xiong Hui, National Univ. of Singapore (Singapore)
Sam Yuan Sung, National Univ. of Singapore (Singapore)
Stephen Huang, Univ. of Houston (United States)


Published in SPIE Proceedings Vol. 4057:
Data Mining and Knowledge Discovery: Theory, Tools, and Technology II
Belur V. Dasarathy, Editor(s)

© SPIE. Terms of Use
Back to Top