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.
Bo Xu, Dalian University of Technology, China
Liang Zhao, Dalian University of Technology, China
Qingchen Zhang, Hainan University, China
Haozhe Wang, University of Exeter, UK
Fangming Zhong, Dalian University of Technology, China
Xiaochen Li, University of Luxembourg, Luxembourg
Yujia Zhu, University of Exeter, UK
Shuo Yu, King Abdullah University of Science and Technology, SA
Zhehuan Zhao, Dalian University of Technology,China
Shi Chen, Emporia State University, USA
Yi Yang, Beihang University, China
Yonglin Leng, Bohai University, China
Zhikui Chen, Dalian University of Technology, China
