International Workshop on DAta mining meets Visual Analytics at big data era (DAVA 2015)
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. The challenges include but not limited to: big data reduction method to enable large-scale visualization; big data integration algorithms to fuse heterogeneous information source for efficient visualizations; temporal data analysis techniques for the effective dynamic and streaming data visualization; and the mechanism for data privacy and security to delivery trustworthy big data visualization for end users.
Exploring all these directions for joining the data analysis with visualization and to finally deliver value to users is a problem of vital importance and requires a lot of efforts from different parties. 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.
The topics of this workshop include, but not limited to, the following:
- 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 and knowledge representation including scalable data representations
- Mathematical foundations and algorithms in data mining to allow interactive visual analysis
- Analytical reasoning including the human analytic, knowledge discovery, perception, 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.