IEEE DSC 2018 - IEEE International Conference on Data Science in Cyberspace
 

IMPORTANT DATES

  Workshop Proposals: March 14, 2018
  Full paper due: April 3, 2018
  Acceptance notification: April 23, 2018
  Camera-ready copy: April 30, 2018
  Conference Date: June 18-21, 2018
    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.

WHAT'S NEW

[2017-8-24] IEEE DSC 2018 is calling for papers  (Read More)

ORGANIZATION

HONORARY CO-CHAIRS
Binxing FangChina Electronics Corporation, China
Philip S. YuUniversity of Illinois at Chicago, USA
Minghai WeiGuangzhou University, China

GENERAL CO-CHAIRS

Jin XuPeking University, China
Yan JiaNational University of Defense Technology, China

PROGRAM CHAIR

Xiaolong ShiGuangzhou University, China

WORKSHOP CHAIR

Bin ZhouNational University of Defense Technology, China

INDUSTRIAL TRACK CHAIR

Kaigui BianPeking University, China

FINANCIAL CHAIR

Kan ZhangPeking University, China

PUBLICATION CHAIR

Yuanxing ZhangPeking University, China

PUBLICITY CHAIR

Jianshan SunHefei University of Technology, China

LOCAL CHAIR

Jiedan XuGuangzhou University, China

Co-sponsored & Co-organized by







If you have any question about IEEE DSC 2018 process, please feel free to contact us: bkg@pku.edu.cn.
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