DAVA 2016 : 2nd International Workshop on DAta mining meets Visual Analytics at big data era In Conjunction with CIKM 2016

Oct 24, 2016 - Oct 28, 2016

Indianapolis, USA

Call For Papers

The world is awash with big data now – we are generating ten exabytes of data in a variety of different forms every day. In this wave, there is a trend to integrate the data mining methods with interactive visualizations to advance the so-called visual analytics (VA) technology. The VA technique enjoys the joint advantage of the human intelligence and the machine’s computational power. Various aspects of the data mining method need to be inspected, justified, organized and evaluated for a successful VA system. This workshop will bring together interdisciplinary researchers from academy, research labs and practice to share, exchange, learn, and develop preliminary results, new concepts, ideas, principles, and methodologies on applying data mining technologies to help advance the visual analytics technology. Researchers and practitioners on the domain of data mining, machine learning, visualization, user interface etc., are welcome to attend, no specific background knowledge is required.

Topics of Interest

• Big data mining and visual analytics, theory and foundations
• Knowledge discovery with data mining and visual analytics technologies
• Fusion, mining and visualization of rich and heterogeneous data source
• Security and privacy issues in data mining and visual analytics systems
• Information, social and biological graph mining and visualization
• Novel methods on visualization-oriented data mining
• Visual representations and interaction techniques of data mining results
• Data management, knowledge representation, e.g., scalable data representations
• Mathematical foundations and algorithms of data mining for visual analysis
• Analytical reasoning including human analytic and collaborative visual analytics
• Evaluation methods for data mining algorithms and visual analytics systems
• Applications of visual analytics and data mining techniques, including but not limited to applications in science, engineering, public safety, commerce, etc.

IMPORTANT DATES

Submission deadline: Jul 31, 2016.

Notification Due: Aug 22, 2016.

Final Version Due:Sep 1, 2016.

                       

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