[IxDA Discuss] EVENT: Ben Shneiderman at City University London - The Thrill of Discovery: Information Visualization for High-Dimensional Spaces, Tuesday 18 September 2007 at 11:00AM

Alexander Baxevanis alex.baxevanis at gmail.com
Mon Sep 3 07:51:35 PDT 2007


For those in the UK

---------- Forwarded message ----------
From: Panayiotis Zaphiris <pzlists at googlemail.com>
Date: Aug 31, 2007 3:28 PM
Subject: [london_usability] Event: Ben Shneiderman at City University
London - The Thrill of Discovery: Information Visualization for
High-Dimensional Spaces, Tuesday 18 September 2007 at 11:00AM

Ben Shneiderman is visiting the Centre for HCI Design
 (http://hcid.soi.city.ac.uk) at City University London and is going to
 give a talk on the 18th of September.

 Title: The Thrill of Discovery: Information Visualization for
 High-Dimensional Spaces, Tuesday 18 September 2007 at 11:00AM

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

 + Date: Tuesday 18th September 2007

 + Time: 11:00AM

 + Location: City University London: Room CM507 (Tait Building)

 + Directions: The event will be at the Northampton Square site (room
 CM507), which
 is easily accessible by tube. Directions at:
 http://www.city.ac.uk/maps/travel/index.html

 Admission is free.  If you would like to attend this talk, please
 email Panayiotis Zaphiris (zaphiri at soi.city.ac.uk).

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

 ABSTRACT

 Interactive information visualization provide 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 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,
 Ebay auction, and genomic data (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 (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.

 +++++++++++++++++++++

 If you would like to attend this lecture, please email zaphiri at soi.city.ac.uk

 +++++++++++++++++++++

 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 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)
 http://www.awl.com/DTUI/.  With S. Card and J. 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)
 (http://mitpress.mit.edu/leonardoslaptop) and won the IEEE book award
 for Distinguished Literary Contribution.

 +++++++++++++++++++++

 --
 Dr. Panayiotis Zaphiris
 Centre for HCI Design
 City University
 London, EC1V 0HB
 UK
 web: http://www.zaphiris.org


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