Important Message from the Organizing Team of IEEE Joint CST 2020
We have been monitoring the developing Coronavirus outbreak. The safety and well-being of all conference participants is our priority. After studying and evaluating the announcements, guidance, and news released by relevant national departments, we are sorry to announce that IEEE CDBCom/DASC/PICom/CyberSciTech 2020 (IEEE Joint CST 2020, for short), scheduled to be held June 22-25, 2020 in Calgary will be postponed to August 17-21, 2020 in the same location --- Calgary city of Canada.
We thank you for your understanding. We wanted to assure the all supporters of IEEE Joint CST 2020 that there will be the conferences and proceedings for IEEE Joint CST 2020. All accepted and registered papers will be published. We will provide remote presentations in circumstances where a travel ban prevents a presenter from attending the conference.
Also, the deadlines for the conferences have been changed.
In the big data era, with the enrichment of data collection and description measures, a wide array of data in various formats are collected much easier than before. It is significant to discover the knowledge hidden in the mass by comprehensive understanding and learning to realize the data intelligence, which can help human in various dimensions, such as intelligent decisions and predictive services. However, the volume, heterogeneous, low-quality and multimodal characteristics of the collected data pose great challenges to the design of knowledge discovery methods. Therefore, this workshop aims to provide a forum to present the state-of-the-art advancements on knowledge discovery for big data, which include related surveys, algorithms, platforms, systems and applications.
Fangming Zhong, Dalian University of Technology, China
Qingchen Zhang, St. Francis Xavier University, Canada
Liang Zhao, Dalian University of Technology, China
Xu Yuan, Dalian University of Technology, China
Haozhe Wang, University of Exeter, UK
Xiaochen Li, University of Luxembourg, Luxembourg
Liang Zou, China University of Mining and Technology, China
Yujia Zhu, University of Exeter, UK
Aiping Liu, University of Science and Technology of China, China
Shi Chen, Emporia State University, USA
Yi Yang, Beihang University, China
Yonglin Leng, Bohai University, China
Zhikui Chen, Dalian University of Technology, China