Visualization of Large Web Access Data Sets

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Date
2002
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
Many real-world e-service applications require analyzing large volumes of transaction data to extract web access information. This paper describes Web Access Visualization (WAV) a system that visually associates the affinities and relationships of clients and URLs for large volumes of web transaction data. To date, many practical research projects have shown the usefulness of a physics-based mass-spring technique to layout data items with close relationships onto a graph. The WAV system: (1) maps transaction data items (clients, URLs) and their relationships to vertices, edges, and positions on a 3D spherical surface; (2) encapsulates a physics-based engine in a visual data analysis platform; and (3) employs various content sensitive visual techniques - linked multiple views, layered drill-down, and fade in/out - for interactive data analysis. We have applied this system to a web application to analyze web access patterns and trends. The web service quality has been greatly benefited from using the information provided by WAV.
Description

        
@inproceedings{
:10.2312/VisSym/VisSym02/201-204
, booktitle = {
Eurographics / IEEE VGTC Symposium on Visualization
}, editor = {
D. Ebert and P. Brunet and I. Navazo
}, title = {{
Visualization of Large Web Access Data Sets
}}, author = {
Hao, Ming C.
and
Garg, Pankaj
and
Dayal, Umeshwar
and
Machiraju, Vijay
and
Cotting, Daniel
}, year = {
2002
}, publisher = {
The Eurographics Association
}, ISSN = {
1727-5296
}, ISBN = {
1-58113-536-X
}, DOI = {
/10.2312/VisSym/VisSym02/201-204
} }
Citation