VA – 12th International Symposium Visual Analytics and Data Science

Visual Analytics is viewed as the science of analytical reasoning empowered by interactive visualizations. It combines interactive visualizations with models and approaches of machine learning and artificial intelligence, enabling solving complex analytical tasks by uncovering hidden patterns in data.
The research on Visual Analytics is closely related to that of Data Science. Both areas seek to enhance the knowledge discovery process using machine learning, data mining, and artificial intelligence methods, whereas Visual Analytics allows commonly a direct manipulation of the underlying models through graphical representations. By leveraging human perception of the visual space, patterns that might not otherwise be discovered. Visual Analytics utilizes concepts from a wide variety of disciplines, including Computer Graphics, Information Visualization, Machine Learning, Artificial Intelligence, Knowledge Discovery, Cognition, and Visual Perception.
Papers on all aspects of Visual Analytics and Data Science are solicited. Papers will be refereed and appear in the main conference proceedings published by  Conference Publishing Services CPS – Conference Publishing Services, – Library of Congress/ISSN, ISBN, and other bibliographical registration details; Arrange for indexing through INSPEC, EI (Compendex), Thomson ISI, and other indexing services –

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, Machine Learning, and Artificial Intelligence
• Visual Analytics models and approaches
• Novel Visual Analytics applications
• Visual Trend Analytics
• Visual Analytics of spatial, temporal, and Spatio-temporal data
• Knowledge construction and management in Visual Analytics
• Guidance in Visual Analytics
• Intelligent approaches of Visual Analytics and Data Science
• Adaptive Visual Analytics
• Cognitive approaches and explanations for Visual Analytics
• Visual Analytics for explaining AI
• Visualization of Data Mining algorithms
• Empirical performance studies
• Evaluation of Visual Data Mining methods
• Collaborative Visual Analytics and Data Science
• Computational steering for long-running Data Mining applications
• Reviews and surveys of related literature

Supporting Bodies

Please check the submission procedures @ the submission page.

General inquiries and submissions should be addressed to the Conference Co-ordinator

Symposium inquiries specific should be addressed to: