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VDA 2014 : Visualization and Data Analysis

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Conference Series : Visualization and Data Analysis
 
Link: http://vda-conference.org/submissions.html
 
When Feb 3, 2014 - Feb 5, 2014
Where San Francisco, CA, USA
Submission Deadline Aug 5, 2013
Notification Due Oct 7, 2013
Final Version Due Nov 25, 2013
Categories    visualization   data analysis   visual analytics
 

Call For Papers

About VDA 2014
The Conference on Visualization and Data Analysis (VDA) 2014 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 experiences. We invite you to participate by submitting your original research as a full paper or a poster and attending VDA 2014 in San Francisco, CA.

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

Pak Chung Wong, Pacific Northwest National Laboratory
David L. Kao, NASA Ames Research Center
Ming C. Hao, Hewlett-Packard Labs
Chaomei Chen, Drexel University

Both paper and poster submissions will be peer reviewed. All VDA papers are reviewed using a single-blind review process. Authors declare their names and affiliations in the manuscript for the reviewers to see, but reviewers do not know each other's identities, nor do the authors receive information about who has reviewed their manuscript. The average paper acceptance rate of VDA 2012 was 48%. 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
Big data visualization and analytics
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.

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