DocumentCode
2218332
Title
Session Viewer: Visual Exploratory Analysis of Web Session Logs
Author
Lam, Heidi ; Russell, Daniel ; Tang, Diane ; Munzner, Tamara
Author_Institution
Univ. of British Columbia Google, Vancouver
fYear
2007
fDate
Oct. 30 2007-Nov. 1 2007
Firstpage
147
Lastpage
154
Abstract
Large-scale session log analysis typically includes statistical methods and detailed log examinations. While both methods have merits, statistical methods can miss previously unknown sub- populations in the data and detailed analyses may have selection biases. We therefore built Session Viewer, a visualization tool to facilitate and bridge between statistical and detailed analyses. Taking a multiple-coordinated view approach, Session Viewer shows multiple session populations at the Aggregate, Multiple, and Detail data levels to support different analysis styles. To bridge between the statistical and the detailed analysis levels, Session Viewer provides fluid traversal between data levels and side-by-side comparison at all data levels. We describe an analysis of a large-scale web usage study to demonstrate the use of Session Viewer, where we quantified the importance of grouping sessions based on task type.
Keywords
Internet; data visualisation; human factors; search engines; statistical analysis; Session Viewer visualization tool; Web search usage behaviors; detailed log examinations; large-scale Web session log analysis; statistical methods; visual exploratory analysis; Aggregates; Bridges; Buildings; Data analysis; Data visualization; Frequency; Human computer interaction; Information analysis; Large-scale systems; Statistical analysis; Web session log analysis; information visualization; visual exploratory data analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Visual Analytics Science and Technology, 2007. VAST 2007. IEEE Symposium on
Conference_Location
Sacramento, CA
Print_ISBN
978-1-4244-1659-2
Type
conf
DOI
10.1109/VAST.2007.4389008
Filename
4389008
Link To Document