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The University of Southampton
Interdisciplinary Research Excellence

Information Visualization for Knowledge Discovery Event

Time:
13:00
Date:
21 November 2012
Venue:
Building 32, Room 3077

For more information regarding this event, please email Alison Simmance at A.Simmance@soton.ac.uk .

Event details

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.

Information Visualization for Knowledge Discovery

Ben Shneiderman (University of Maryland--College Park)

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 such as  claiming to bewww.spotfire.com  and  "exchange.cs.umd.edu" claiming to  www.smartmoney.com/marketmap , plus emerging products such as www.hivegroup.com<  will be covered.
The central theme is the integration of statistics with visualization as applied for time series data such as (www.cs.umd.edu/hcil/timesearcher ), temporal event sequences such as electronic health records (www.cs.umd.edu/hcil/lifelines2  andwww.cs.umd.edu/hcil/eventflow ), and social network data (www.cs.umd.edu/hcil/socialaction andwww.codeplex.com/nodex ).

BEN SHNEIDERMAN (http://www.cs.umd.edu/~ben) is a Professor in the Department of Computer Science and Founding Director (1983-2000) of the Human-Computer Interaction Laboratory (http://www.cs.umd.edu/hcil/) at the University of Maryland.  He is a Fellow of the AAAS, ACM, and IEEE, and a Member of the National Academy of Engineering.

Ben is the co-author with Catherine Plaisant of Designing the User Interface: Strategies for Effective Human-Computer Interaction (5th ed., 2010) http://www.awl.com/DTUI/.  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 Laptopappeared 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 (www.codeplex.com/nodexl<http://www.codeplex.com/nodexl>, 2010).

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