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VAKD 2009 : Workshop on Visual Analytics and Knowledge Discovery

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Link: http://www.hiit.fi/vakd09
 
When Jun 28, 2009 - Jun 28, 2009
Where Paris, France
Submission Deadline Apr 20, 2009
Categories    knowledge discovery
 

Call For Papers


Call for Papers - VAKD '09

WORKSHOP ON VISUAL ANALYTICS AND KNOWLEDGE DISCOVERY:
INTEGRATING AUTOMATED ANALYSIS WITH INTERACTIVE EXPLORATION

A full-day workshop in conjunction with
the 15th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
in Paris, France, on 28 June 2009.
Submit papers by 20 April 2009.

http://www.hiit.fi/vakd09


The goal of Visual Analytics is to derive insight from massive,
dynamic, ambiguous, and often conflicting data; detect the expected
and discover the unexpected; provide timely, defensible, and
understandable assessments; and communicate the assessment effectively
for action. The goal of this workshop is to raise the awareness of the
KDD community for the importance of Visual Analytics and bring
together researcher from the underlying fields to bridge the gap
between them - to write a KDD research roadmap on Visual Analytics.


Topics of Interest

We solicit papers that will introduce new research results, present
forward-looking positional statements, or define relevant research
challenges. Topics of interest include, but are not limited to:
* Visual and interactive data analysis
* Visual support in the knowledge discovery process
* Statistical graphics for data analysis
* Geo-spatial Visual Analytics
* Collaborative Visual Analytics
* Scalable Visual Analytics
* Visual data abstraction
* Visual analysis of large graphs and networks
* Visual exploration of data warehouses
* Integrated visualization of raw data and analysis results
* Metrics and evaluation methods for Visual Analytics
* Perceptual and cognitive factors in Visual Analytics
* Interaction paradigms and human factors


Visual Analytics Challenge

You are invited to work the IEEE VAST 2008 challenges, and use those
datasets, to illustrate your KDD/VA research. A distinct advantage to
you in using these datasets is that we will be able to compare and
contrast approaches taken by the Visual Analytics community with yours
and examine the possibilities for synergies between the two
communities. We will present examples of the VAST 2008 challenge
solutions at the workshop, as a springboard to follow-on discussion.


Invites Speakers

Rakesh Agrawal (Search Labs, Microsoft Research)
Jim Thomas (National Visualization and Analytics Center, Pacific
Northwest National Laboratory)

Program Committee Chairs

Fosca Giannotti & Dino Pedreschi & Salvatore Rinzivillo (University of Pisa)
Georges Grinstein (University of Massachusetts Lowell)
Otto Huisman (International Institute of Geo-Information Science and
Earth Observation)
Daniel A. Keim (University of Konstanz)
Catherine Plaisant (Human-Computer Interaction Lab, University of Maryland)
Tobias Schreck (Technische Universitaet Darmstadt)
Mike Sips (Max-Planck-Institut fuer Informatik)
Dimitrios Tzovaras (Center for Research & Technology Hellas)
Anders Ynnerman & Jimmy Johansson (Link?ping University)

Challenge Chairs

Mark A. Whiting & Jean Scholtz (Pacific Northwest National Laboratory)

General Chairs

Kai Puolam?ki & Heikki Mannila (Helsinki Institute for Information
Technology HIIT)
Alessio Bertone & Silvia Miksch (Danube University Krems)

Contact Information

Email: vakd09@hiit.fi
Web site: http://www.hiit.fi/vakd09
See the workshop web site for complete contact information.

Sponsors

VisMaster, a European FP7 Coordination Action Project focused on
Visual Analytics
Helsinki Institute for Information Technology HIIT
Danube University Krems, Departement of Information and Knowledge
Engineering (DUK)
National Visualization and Analytics Center (NVAC)


Please see the full Call for Papers at
www.hiit.fi/vakd09

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