KDBD 2020: International Workshop on Knowledge Discovery for Big Data
in conjunction with the 18th IEEE International Conference on Pervasive In Intelligence and Conputing(PICom 2020)
Calgary, Canada, June 22-26, 2020
Scope
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.
Proposed submissions should be original, unpublished, and novel for in-depth research.
Topics include but not limited to:
· Acquisition, transmission, storage, index and visualization for big data
· Innovative methods for big data analytics
· Multimodal data fusion
· Domain adaption and transfer learning
· Deep learning and reinforcement learning
· Knowledge graphs
· Natural language processing
· Parallel, accelerated, and distributed algorithms and frameworks for big data
· Security, privacy and trust in big data
· Big data in Internet of Things
· Methods for academic, traffic, medical, financial, and judicial big data
· Other methods, models, architectures and applications related to big data
Paper Submission
Papers should be prepared in IEEE CS format within 6 pages. IEEE formatting information:
https://www.ieee.org/conferences/publishing/templates.html.
Important Date
Paper submission deadline: March 10,2020
Acceptance Notification: April 1, 2020
Camera-ready Submission: May 10, 2020
Workshop Committee Members
Organizing Chair:
Fangming Zhong, Dalian University of Technology, China
Co-Chair:
Qingchen Zhang, St. Francis Xavier University, Canada
Liang Zhao, Dalian University of Technology, China
Haozhe Wang, University of Exeter, UK
Program Committee Chair:
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
International Committee Chair:
Shi Chen, Emporia State University, USA
Yi Yang, Beihang University, China
Yonglin Leng, Bohai University, China
Advisory Chair:
Zhikui Chen, Dalian University of Technology, China