Description

Data Science, as a highly interdisciplinary field, is playing a more and more critical and central role in the development of cyberspace and various applications. Data science in cyberspace is an integral part of competitive intelligence, a newly emerging field that encompasses a number of activities, such as data mining and data analysis. Data science in cyberspace inspires novel techniques and theories drawn from many areas, such as mathematics, statistics, information theory, computer science, and social science, and involves many specific domains, such as signal processing, probability models, machine learning, statistical learning, data mining, database, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression, computer programming, and high performance computing.

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Committee

HONORARY CO-CHAIRS 

Binxing Fang, China Electronics Corporation, China
Philip S. Yu, University of Illinois at Chicago, USA

GENERAL CO-CHAIRS
Yan Jia, National University of Defense Technology, China
Jian Pei, Simon Fraser University, Canada

PROGRAM CO-CHAIRS
Jin Xu, Peking University, China
Jinjun Chen, Swinburne University of Technology, Australia

WORKSHOP CHAIR
Aiping Li, National University of Defense Technology, China

INDUSTRIAL TRACK CO-CHAIRS
Xiaolong Shi, Guangzhou University, China
Hui Lu, Guangzhou University, China

FINANCIAL CO-CHAIRS
Lihua Yin, Guangzhou University, China
Kan Zhang, Peking University, China

PUBLICATION CO-CHAIRS
Kaigui Bian, Peking University, China
Yuanxing Zhang, Peking University, China

PUBLICITY CHAIR
Bin Zhou, National University of Defense Technology, China

LOCAL CO-CHAIRS
Zhihong Tian, Guangzhou University, China
Le Wang, Guangzhou University, China

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    Contact information

    • Mr.李树栋
    • lishudong@gzhu.edu.cn
    • 18663856480

    Sponsored By

    • Peking University
      Guangzhou University
      National Defense Science and Technology University