Heidi Lam
Information Visualization and Human-Computer Interaction Researcher building and evaluating tools for analysis of large data sets.
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Recent Progress Towards an Ecosystem of Structured Data on the Web
Nitin Gupta
Alon Y. Halevy
Boulos Harb
Fei Wu
Cong Yu
ICDE (2013), pp. 5-8
Big Data Storytelling Through Interactive Maps
Sreeram Balakrishnan
Kathryn Hurley
Hector Gonzalez
Nitin Gupta
Alon Halevy
Karen Jacqmin-Adams
Anno Langen
Rod McChesney
Rebecca Shapley
Warren Shen
IEEE Data Engineering Bulletin, 35 (2012), pp. 46-54
Session Viewer: Visual Exploratory Analysis of Web Session Logs
Daniel M. Russell
Tamara Munzner
Symposium on Visual Analytics Science and Technology (VAST), IEEE (2007), pp. 147-154
Preview 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 subpopulations 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.
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