Information Visualization for Knowledge Discovery

2012년 2월 28일 화요일 AM 10:30
302 Building, Room 105


Interactive information visualization tools provide researchers with remarkable capabilities to support discovery. These telescopes for high-dimensional data combine powerful statistical methods with user-controlled interfaces. Users 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-item visualizations that can represent billion-record databases.

This talk reviews the growing commercial success stories [1] [2] [3] and research tools for time series data [4].

The central theme is the integration of statistics with visualization as applied to temporal event sequences such as electronic health records [5] [6] and social network data [7] [8].

연사 소개

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 is a Fellow of the AAAS, ACM, and IEEE, and a Member of the National Academy of Engineering in 2010.

Ben is the co-author with Catherine Plaisant of Designing the User Interface: Strategies for Effective Human-Computer Interaction (5th ed., 2010). With Stu Card and Jock Mackinlay, he co-authored Readings in Information Visualization: Using Vision to Think (1999). With Ben Bederson 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. His latest book, with Derek Hansen and Marc Smith, is Analyzing Social Media Networks with NodeXL (2010).