Heidi Lam

Heidi Lam

Information Visualization and Human-Computer Interaction Researcher building and evaluating tools for analysis of large data sets.
Authored Publications
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    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
    Preview
    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. View details