Please Note Unusual Day and Time

Seminar Notice

Statistical Laboratory

Iowa State University

DATE AND TIME: Friday, April 15, 2005, 9:00 -9:50 a.m.

PLACE: 1252 Howe Hall

SPEAKER: Ben Shneiderman, Department of Computer Science, University of Maryland, College Park

TITLE:  The Thrill of Discovery:  Information Visualization for High-Dimensional Spaces

ABSTRACT

Interactive information visualization provides researchers with remarkable tools for discovery.  By combining powerful data mining methods with user-controlled interfaces, users are beginning to benefit from these potent telescopes for high-dimensional spaces.  They can begin with an overview, zoom in on areas of interest, filter out unwanted items, and then click for details-on-demand.  With careful design and efficient algorithms, the dynamic queries approach to data exploration can provide 100msec updates even for million-record databases.

This talk will start by reviewing the growing commercial success stories such as <http://www.spotfire.com/>www.spotfire.com, www.smartmoney.com/marketmap and <http://www.hivegroup.com/>www.hivegroup.com.  Then it will cover recent research progress for visual exploration of large time series data applied to financial, E-bay auction, and genomic data (<http://www.cs.umd.edu/hcil/timesearcher>www.cs.umd.edu/hcil/timesearcher).

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 (<http://www.cs.umd.edu/hcil/hce>www.cs.umd.edu/hcil/hce).  By judiciously choosing from appropriate ranking criteria for low-dimensional axis-parallel projections, users can locate desired features of higher dimensional spaces. Demonstrations will be shown.

COFFEE: 3:45 p.m., 104 Snedecor Hall

Seminar schedules and abstracts are available via WWW:  http://www.stat.iastate.edu/

Jeanette La Grange

Department of Statistics

102 Snedecor

Iowa State University

Ames, IA  50010-1210

515 294-3440 (office)

515 294-4040 (fax)