DSC 2026

11th International Conference on Data Science in Cyberspace

Qingdao coastal skyline at May Fourth Square
 

7th Workshop on Multi-dimensional Data Association and inTelligent Analysis (MDATA 2026)

Collocated with DSC 2026 in Qingdao, China.

Scope

With the rapid development of information technologies, big data has emerged from applications across many domains. Extracting knowledge and conducting fusion analysis from big data have become important yet challenging tasks. Knowledge extracted from multiple dimensions can be heterogeneous, knowledge often evolves with spatio-temporal dynamics, and the proportion of valuable data can become relatively small as data volume increases. New methods and theories are required to associate data from multiple dimensions and analyze big data more intelligently.

MDATA 2026 aims to bring together big data researchers to exchange ideas, innovations, and novel methods for multi-dimensional data association and intelligent analysis. Research on knowledge representation, knowledge management, data fusion and association, big data mining, knowledge verification, and big data applications is welcome.

Topics of Interest

  • Knowledge representation theories and methods
  • Multi-dimensional data association methods
  • Knowledge management theories and methods
  • Multi-dimensional big data analysis
  • Data fusion and association theories and methods
  • Intelligent data analysis methods
  • Data and knowledge verification
  • Applications in the Internet of Things
  • Applications in cyber attack and defense
  • Applications in intelligence analysis
  • Research challenges on data analysis and knowledge management
  • Entity linking algorithms
  • Link prediction in knowledge graphs

Paper Submission

All submissions should be written in English and submitted through the workshop submission system. A paper submitted to MDATA 2026 must not be under review for any other conference or journal while it is being considered for MDATA 2026, and must be substantially different from any previously published work. Submissions will be reviewed in a single-blind manner.

Workshop manuscripts should follow the Springer LNCS proceedings format. Accepted and presented workshop papers are planned to be included in the DSC 2026 Springer LNCS proceedings, subject to final proceedings approval and organizer instructions.

MDATA submission system: To be announced.

Important Dates

  • Full paper due: July 29, 2026
  • Acceptance notification: August 19, 2026
  • Camera-ready copy: August 29, 2026
  • Workshop date: September 11-13, 2026

Organization

  • Zhaoquan Gu, Harbin Institute of Technology (Shenzhen), Shenzhen, China
  • Aiping Li, National University of Defense Technology, China
  • Ye Wang, Harbin Institute of Technology (Shenzhen), Shenzhen, China
  • Liyi Zeng, Pengcheng Laboratory, Shenzhen, China
  • Hongkui Tu, National University of Defense Technology, Hunan, China
  • Qi Xuan, Zhejiang University of Technology, Zhejiang, China
  • Yizhi Ren, Hangzhou Dianzi University, Zhejiang, China
  • Zhijun Li, Harbin Institute of Technology, Heilongjiang, China
  • Denghui Zhang, Guangzhou University, Guangdong, China
  • Haiyan Wang, Pengcheng Laboratory, Shenzhen, China
  • Wenying Feng, Pengcheng Laboratory, Shenzhen, China

Contact

For questions about MDATA 2026, please contact guzhaoquan@hit.edu.cn or liaiping@nudt.edu.cn.

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