Data Visualization (DV 2018)
Scope
With the big data decades coming, analysis on data science in cyberspace becomes more and more complex. For applications in the real world, data are heterogeneous, high-dimensional and dynamic, which brings challenge in data processing and makes it even difficult to analysis. Data Visualization combines advantages in data processing and visual sensing of both human and computer, and provides us intuitional understanding of data. This workshop, collocated with the 3rd IEEE International Conference on Data Science in Cyberspace (IEEE DSC2018), will bring big data producers and users together with visualization researchers and practitioners, and foster great exchanges between them. Attendees will be introduced to the latest and greatest research innovations in data visualization, and also learn how these innovations may impact decision making and knowledge discovery in real-world applications. We solicit papers on both original research and practice of data visualization and analysis.
WORKSHOP AREAS
Suggested topics include but are not restricted to:
1. Visual Analytics of High-dimensional data
2. Complex Network Visualization
3. Scientific and Information Visualization
4. Visual Representation and Interaction
5. Perception and Cognition of Visual Information
6. Analytical Reasoning and Visualization on Big Data
7. Advanced Technologies and Applications for Cyberspace Data Visualization
8. Visual Analytics Processes and Workflows
9. Construction of visual analysis system
10. Scalable parallel visualization methods
11. Advanced hardware and architecture for data visualization and analysis
PAPER SUBMISSION
All submissions should be written in English and submitted via our submission system: https://cmt3.research.microsoft.com/DSCDV2018/.
IMPORTANT DATES
Acceptance notification:
Camera-ready copy:
Conference Date: June 18, 2018
ORGANIZATION
Workshop General Chairs
Wu Lingda, Science and Technology on Complex Electronic System Simulation Laboratory, Space Engineering University, Beijing, China
Wei Yingmei, National University of Defense Technology, Changsha, China
Program Committee
Yuxiang Xie, National University of Defense Technology, China
Shi Qu, Air Force Early Warning Academy, China
Yougen Zhang, Academy of National Defense Information, China
Juanjuan Wu, University of Melbourne, Australia
Xuejun Li, Equipment Academy, China
Hanchen Song, National University of Defense Technology, China
Zheng Yang, National University of Defense Technology, China
JuFang Li, Hunan International Economics University, China
XiDao Luan, Changsha University, China
YunYun Qu, Guizhou Normal University,China
