VA 2017 - 9th International Symposium Visual Analytics

Visual Analytics is a science of analytical reasoning facilitated by interactive visual interfaces. The key role in visual analytics belongs to visual and interactive data mining.
Visual data mining research seeks to enhance the knowledge discovery process using graphical representations of data mining results and processes and through the combination of visual and computational approaches to data exploration. By leveraging human perceptions of the visual space, patterns that might not otherwise be discovered will be identified using visual data mining techniques. Visual data mining utilizes concepts from a wide variety of disciplines, including: computer graphics, information visualization, knowledge discovery, cognition and visual perception.
Papers on all aspects of visual data mining and analytics are solicited. Papers will be refereed and appear in the conference proceedings, which will be published by official publisher of the conference..
A selection of the best papers will be recommended for publication in special issues of scientific journals, or as an edited book.
Topics of interest:
Combining visual and computational methods of data analysis
Visual querying
Visual analytics of spatial, temporal, and spatio-temporal data
Knowledge construction and management in visual analytics
Privacy issues in visual analytics
Cognitive approaches and explanations for visual data mining
Visualization of data mining algorithm
Scalability issues
Empirical studies of performance
Evaluation of visual data mining methods
Collaborative visualization and mining
Applications of visual data mining and analytics
Case studies
Computational steering for long-running data mining applications
Reviews and surveys of related literature