CFP

VISUAL DATA MINING A Special Issue of the Journal of Visual Languages and Computing (http://www.academicpress.com/jvlc)

Visual data mining is an emerging area in explorative data analysis and mining. It refers to methods for supporting exploration of large data sets by allowing users to directly interact with visual representations of data and dynamically modify parameters to see how they affect the visualized data. Graphically presenting data enables users to discover specific patterns, as well as new and useful properties in the data, their correlations, and also detect possible deviations from the expected values. Visual data mining exploits concepts from information visualization, visual perception, visual metaphors, diagrammatic reasoning, computer graphics, 3D virtual environments. It empowers the data mining community by providing means to discover meaningful trends that could be missed with traditional non visual methods. Moreover, users do not need to know in advance what kind of phenomena they should observe, since the visual representation of the data provides the possibility to discover anything interesting or unusual.

TOPICS OF INTEREST

The topics of interests include but are not limited to:

• visual methods for data analysis
• visual representation of data mining results
• general visual data mining process models
• visual metaphors for data mining
• visual analysis of large databases
• visual explanations
• visual reasoning and uncertainty management in data mining
• virtual environments for data visualisation and exploration
• perceptual and cognitive aspects of information visualisation in data mining
• multimedia support for visual reasoning in data mining
• collaborative visual data exploration
• usability of visual data mining methods
• metrics for evaluation of visual data mining methods
• methods for visualising semantic content
• immersive data mining techniques
• visual environments for integrating data mining techniques
• applications of visual data mining

Prof. Maria F. Costabile Dipartimento di Informatica Universita' di Bari tel +39-080-5443300 Via Orabona 4 fax +39-080-5443300 70125 Bari - Italy e-mail costabile@di.uniba.it http://www.di.uniba.it/~costabil/

Prof. Donato Malerba Dipartimento di Informatica Universita' di Bari tel +39-080-5443276 Via Orabona 4 fax +39-080-5443196 70125 Bari - Italy e-mail malerba@di.uniba.it http://www.di.uniba.it/~malerba/

Important Dates: Submission Deadline: August 1, 2002 Notification of Acceptance: January 1, 2003 Final Manuscript Due: May 1, 2003 Publication: October 1, 2003