Visualizing and Discovering Web Navigational Patterns
- Osmar R. Zaiane, University of Alberta (Database)
- Jiyang Chen
- Lisheng Sun
- Randy Goebel
Web site structures are complex to analyze. Cross-referencing the web structure with navigational behaviour adds to the complexity of the analysis. However, this convoluted analysis is necessary to discover useful patterns and understand the navigational behaviour of web site visitors, whether to improve web site structures, provide intelligent on-line tools or offer support to human decision makers. Moreover, interactive investigation of web access logs is often desired since it allows ad hoc discovery and examination of patterns not a priori known. Various visualization tools have been provided for this task but they often lack the functionality to conveniently generate new patterns. In this paper we propose a visualization tool to visualize web graphs, representations of web structure overlaid with information and pattern tiers. We also propose a web graph algebra to manipulate and combine web graphs and their layers in order to discover new patterns in an ad hoc manner.
Citation
O. Zaiane, J. Chen, L. Sun, R. Goebel. "Visualizing and Discovering Web Navigational Patterns". International Workshop on the Web and Databases, pp 13-18, June 2004.| Keywords: | Web Visualization, Web Graph Algebra, Interactive Web, machine learning |
| Category: | In Workshop |
| Web Links: | ACM Digital Library |
BibTeX
@misc{Zaiane+al:WebDB04,
author = {Osmar R. Zaiane and Jiyang Chen and Lisheng Sun and Randy Goebel},
title = {Visualizing and Discovering Web Navigational Patterns},
Pages = {13-18},
booktitle = {International Workshop on the Web and Databases},
year = 2004,
}Last Updated: February 04, 2020Submitted by Sabina P
