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CFP: Third International Workshop on Visual Data Mining: msg#00091

db.dbworld

Subject: CFP: Third International Workshop on Visual Data Mining

Call for papers

VDM@ICDM2003 - The 3rd International Workshop on Visual Data Mining

in conjunction with
ICDM 2003 - The Third IEEE International Conference on Data Mining,
November 19 - 22, 2003, Melbourne, Florida, USA

IMPORTANT DATES
Submission deadline: 8-th September 2003
Acceptance notification: 22-nd September 2003
Camera ready copy: 6-th October 2003
Workshop day: 19-th November 2003

Workshop Website: http://research.it.uts.edu.au/emarkets/vdm_icdm2003/
Workshop contact: vdm03-IuPLbuXCSHZWG/WdbR7gnQ@xxxxxxxxxxxxxxxx

The goal of this workshop series is to provide a forum for presentation and
discussion of the newest ideas, research and developments in visual data mining
and supporting disciplines, and to identify the short- and long-term research
directions in the field.

TOPICS OF INTEREST

The scope of the workshop covers the intersection of broad range of
disciplines. This year workshop will focus on selected issues that surfaced
during the past workshops, namely on metrics for visual data mining methods
(including an invited presentation on recent developments in visualization
metrics by Georges Grinstein), and the application of visual data mining to
discover causalities. The major topics of the workshop include but are not
limited to:
* methods for visual data analysis
* data and knowledge representation and metaphors visualization for visual
data mining;
* metrics for evaluation of visual data mining methods;
* virtual environments for data visualisation and exploration, including
immersive visualisations;
* visual reasoning and cognitive aspects of visual data mining;
* validating results of visual data mining;
* complexity, efficiency and scalability in visual data mining;
* immersive visual data mining in virtual reality systems;
* visual data mining of social networks;
* fractals visualisation - fractal dimensions, self-similarity and symmetry -
in visual data mining.

We also encourage submissions, which present early stages of research work,
software applications and demonstrations of research and development projects.
The workshop program is expected to include demonstrations of visual data
mining prototypes and systems.

WORKSHOP CHAIRS
Simeon J. Simoff - University of Technology Sydney, Australia
Monique Noirhomme-Fraiture - FUNDP, Belgium
Michael H. Böhlen - Aalborg University, Denmark

DEMOSTRATION CHAIRS
Henrik Rojas Nagel -Aalborg University, Denmark
Arturas Mazeika - Aalborg University, Denmark

LOCAL CHAIR
Michael Ankerst - The Boeing Company, USA

See the workshop website for more information on the workshop.
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