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Mon. April 20, 2009 Day 1: |
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09:
00 a
.m. - 12:30 p.m. Room 2129, Science Building No. 2 |
Tutorial 1: Fundamentals
and Frontiers of Visual Analytics
Presenters: Jim Thomas
(Director, National Visualization and
Analytics
Center,
PNNL,
USA),
David Ebert (Director, Purdue Regional Visualization and
Analytics
Center,
Purdue University,
USA,) |
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Visual Analytics is the science of analytical reasoning facilitated by
visual interfaces. This is an emerging field of study that brings talents
from many diverse disciplines including statistics, mathematics,
information, knowledge, and library sciences, knowledge representation and
synthesis, scientific and information visualization, cognitive and
perceptual sciences, communications, decision sciences and more. The
demand for visual analytics is being stimulated by new requirements for
analytics of massive complex information spaces in science, commerce,
home, energy, environment, security, and almost any domain that deals with
complex, large information sources that require human judgment to ˇ°detect
the expected and discover the unexpectedˇ±. Jim and David will present the
new needs for science and technology, referenced from the recent book
Illuminating the Path: the Research and Development Agenda for Visual
Analytics, http://nvac.pnl.gov/. We will also discuss the driving new
characteristics of interaction and suggest the top ten technical
challenges for visual analytics, enlisting comments and recommendations.
We will present current examples of select research projects, early
application deployments and evaluation methods.
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09:
00
a
.m. - 12:30 p.m. Room 2736, Science Building No. 2 |
Tutorial 2: Graph Visualization
Presenters: Guseppe Liotta and Walter Didimo (Universit¨¤ degli
Studi
di Perugia,
Italy) |
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Graph Visualization is at the heart of many information visualization
systems, since it addresses the problem of efficiently conveying the
structure of relational data that are typically modeled as graphs. This
tutorial gives an introduction to the area of Graph Visualization, surveys
some fundamental algorithmic techniques for visualizing graphs, and
discusses issues of algorithm engineering and implementation.
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14:00 p.m. - 17:30 p.m. Room 2129, Science Building No. 2 |
Tutorial 3: Multidimensional
Visualization 2009: New Shapes, Insights and Applications
Presenters: Alfred Inselberg
(
Tel Aviv University,
Israel),
Pei Ling Lai (Southern
Taiwan University of Technology),
Heejo Lee (
Korea University,
Korea)
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Learn the most recent concepts, intuition and skills for applications to
multidimensional problems. The presentation includes Visual & Automatic
Data Mining, Statistics, Computer Vision, Collision Avoidance for Air
Traffic Control, Geometric Modeling, Decision Support, Detecting Network
Intrusions, Merging Machine Learning with Visualization & Data Mining,
concluding with teaching tips and research directions.
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14:00 p.m. - 17:30 p.m. Room 2736, Science Building No. 2 |
Tutorial 4: Interactive Methods
in Scientific Visualization
Presenters: Jens Krueger (
University of Utah,
USA),
Christof Rezk-Salama (Universitaet Siegen,
Germany),
Christian Dick, Jens Schneider (Technische
Universitaet Muenchen, Germany)
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We will present an introductory tutorial on interactive methods in
scientific visualization including talks about volume rendering, vector
field visualization and terrain rendering. Additionally, one talk will
cover strategies for interactive out-of-core rendering of very large data
sets. Each talk starts with a brief introduction into the topics in
general, and then focuses on GPU-based visualization methods as well as
their implementations on recent graphics hardware. These methods will not
only be presented as slides and videos but will also be demonstrated live.
The course notes will not only include the slides and videos presented in
the talks but also demo applications as well as open-source code.
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Click here to the toturial registration page.
Only registered attendants can receive printed copies of the lecture notes.
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