This talk will start by reviewing the growing commercial success stories such as www.spotfire.com, www.smartmoney.com/marketmap and www.hivegroup.com. Then it will cover recent research progress for visual exploration of large time series data applied to financial, medical, eBay auction, and genomic data.
Our next step was to combine these key ideas to produce the Hierarchical Clustering Explorer 3.0 that now includes the rank-by-feature framework. By judiciously choosing from appropriate ranking criteria for low-dimensional axis-parallel projections, users can locate desired features of higher dimensional spaces. Finally, these strategies of unifying statistics with visualization are applied to network data. Demonstrations will be shown.
Ben Shneiderman is a Professor in the Department of Computer Science and Founding Director (1983-2000) of the Human-Computer Interaction Laboratory at the University of Maryland. He was elected as a Fellow of the Association for Computing (ACM) in 1997 and a Fellow of the American Association for the Advancement of Science (AAAS) in 2001. He received the ACM SIGCHI Lifetime Achievement Award in 2001.
Ben is the author of Designing the User Interface: Strategies for Effective Human-Computer Interaction (4th ed. April 2004). With Stuart Card and Jock Mackinlay, he co-authored Readings in Information Visualization: Using Vision to Think (1999). With Ben Benderson he co-authored The Craft of Information Visualization (2003). His book Leonardo's Laptop appeared in October 2002 (MIT Press) and won the IEEE book award for Distinguished Literary Contribution.