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VDA 2012 : Conference on Visualization and Data Analysis

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Conference Series : Visualization and Data Analysis
 
Link: http://vda-conference.org/vda-2012.html
 
When Jan 22, 2012 - Jan 23, 2012
Where Burlingame, CA
Submission Deadline Jul 11, 2011
Notification Due Sep 12, 2011
Final Version Due Nov 14, 2011
Categories    visualization   data mining   databases   visual analytics
 

Call For Papers

The Conference on Visualization and Data Analysis (VDA) 2012 covers all research and development and application aspects of data visualization and, more recently, visual analytics. Since the first VDA conference was held in 1994, the annual event has grown steadily into a major venue for visualization researchers and practitioners from around the world to present their work and share their experience every year. We invite you to participate by submitting your original research as full paper or a poster.

Both paper and poster submissions will be peer reviewed. The average paper acceptance rate of recent VDA conferences was about 50%. Papers presented at this conference will be published in a bound proceedings published by IS&T/SPIE. Papers and posters are solicited on all topics of data visualization, including:

* Internet imaging, medical imaging, image processing
* Biomedical visualization and applications
* Internet, web, and security visualizations
* Analysis techniques and data mining
* Data exploration using classical and novel approaches
* Databases and visualization
* High-performance computing and parallel rendering
* Tools and applications exemplified by case studies
* Virtual environments and data visualization
* Information and scientific visualization
* Volume and flow visualization
* Interaction paradigms and human factors

Authors of the best papers will be invited to revise and extend their work for publication in a special issue of the journal Information Visualization.

Questions regarding paper submission or conference participation should be directed to the conference chairs:

* Pak Chung Wong (pak.wong@pnnl.gov), Pacific Northwest National Laboratory
* David L. Kao (david.l.kao@nasa.gov), NASA Ames Research Center
* Ming C. Hao (ming_hao@hp.com), Hewlett-Packard Labs
* Chaomei Chen (Chaomei.Chen@cis.drexel.edu), Drexel University

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