Visual Analytics

Special Session in VLC 2009 International Workshop

The 15th International Conference on Distributed Multimedia Systems (DMS'09)

Hotel Sofitel, Redwood City, San Francisco Bay, USA, September 10 – September 12, 2009


Visual Analytics (VA) represents an emerging multidisciplinary research field whose aim is to support users in their specific analytical tasks, by providing them with techniques to synthesize information, discover hidden information, and derive insight from large amounts of data.

VA refines techniques conceived in the Information Visualization context in order to visualize multidimensional and geographic data by taking care of cognitive, qualitative and scalability aspects. With respect to the field of visualization, VA integrates methodology from information analytics, human factors and data analysis. In particular, it adopts visual and interactive methods from the visualisation research, and merges them with new possibilities provided by computational techniques such as data mining, statistics, and optimisation.

The aim of this special session is to provide a forum specifically conceived to the dissemination and exchange of research results on VA. Due to its multidisciplinary nature different communities may be involved aiming at proposing a common working platform on which to base the theoretical principles of experimental activities thus achieving a comparable and measurable improvement.

Topics of interest include, but are not limited to, the following:


Papers must be written in English. An electronic version (Postscript, PDF, or MS Word format) of the paper should be submitted using the following URL:

All the submitted papers will be reviewed by the International Program Committee members. Accepted papers will be published in the Proceedings of DMS2009. When submitting your paper(s) to the special track on Visual Analytics, please select the item "Vitiello and Sebillo, Visual Analytics" in the "Paper Type" menu appearing in the Paper Submission Form

Manuscript must include a 200-words abstract and no more than 6 pages of IEEE double column text (include figures and references).


Giuliana Vitiello (, Monica Sebillo (
Dipartimento di Matematica e Informatica
University of Salerno
Via Ponte don Melillo
84084 Fisciano (SA)