Logs, Analyses, Visualizations
20th June 2012, 11:00 - noon
Salle 475, PCRI (how to get there ?)
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. Session Viewer was build as an attempt to facilitate and bridge between statistical and detailed analyses. In this talk, I will share with some insights gained from watching analysts at Google, and how Session Viewer was (or was not) used.
Heidi Lam has been a software engineer at Google, Inc. since 2008. She received a PhD from the University of British Columbia in 2008, studying with Dr. Tamara Munzner. Heidi's current research interests include understanding how visualization can be used to support exploratory data analysis and evaluations in visualization. She was co-chair of the ACM CHI 2010 workshop BELIV'10: BEyond time and errors: novel evaLuation methods for Information Visualization.