********************** KDBD -2020 CFP **********************
The 2nd International Workshop on Knowledge Discovery for Big Data
(KDBD 2020)
http://ubinec.org/~kdbd2020
in conjunction with the
18th IEEE International Conference on Pervasive Intelligence and Computing
(PICom 2020)
http://cyber-science.org/2020/picom/
June 22-26 2020, Calgary, Canada


========= INTRODUCTION ==========
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.

========= Topics =========
The topics include but not limited to:
Acquisition, transmission, storage, index and visualization for big data
Innovative methods for big data analytics
Multimodal data fusion
Cross-modal reasoning and retrieval
Domain adaption and transfer learning
Zero-shot and few-shot 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



========= IMPORTANT DATES =========
Paper Submission Deadline: March 10, 2020
Acceptance Notification: April 1, 2020
Camera-ready Submission: May 10, 2020

========= PAPER SUBMISSION =========
Papers should be prepared in IEEE CS format within 6 pages. IEEE formatting information: ( link )

Authors are invited to submit their original research work using IEEE CS Proceedings format via PICOM 2020 EDAS (https://edas.info/N26908). Ps: Log on the system and choose the Track of International Workshop on Knowledge Discovery for Big Data.

All accepted papers will be published by IEEE (IEEE-DL and EI indexed) in Conference Proceedings.


========= COMMITTEES =========
Organizing Chair
Fangming Zhong, Dalian University of Technology, China

Organizing 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

========= CALGARY =========
Welcome to Calgary, a city rich with beautiful landscapes, picturesque skylines and urban vibrancy, the city has a dynamic array of experiences that allow both visitors and Calgarians endless opportunities for adventure and to live in the moment.
Calgary was recently ranked the fifth most livable city in the world by the Economist Intelligence Unit