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International Journal of Data Science and Analytics - CfP: CCF BigData conference Journal Track on ‘Data Science in China’

CCF BigData conference Journal Track on‘Data Science in China’

CCF Big data conference is the important annual academic meeting hosted by the CCF Expert Committee on Big Data, abbrev CCF ECBD, which provides a forum for the discussion of high-quality research outcomes and applications in all areas related to big data, data science, and deep learning etc. CCF Big data conference has been successfully held for over 10 years in China. Its journal track on Data Science in China is implemented in partnership with Springer's international journal of Data Science and Analytics (JDSA). The journal track welcomes papers on big data theory from China or Chinese co-author all the year round and provides fast review channels (generally less than 1 month). Accepted papers will be published in the special topic of Data Science in China in JDSA, and at least one author of each paper must register and present their work at the next CCF BigData conference. At the same time, this track also welcomes extended versions of the excellent papers recommended by the conference.

Topics

Submissions on all topics related to Big Data and Data Science are invited, including but not limited to the following:

  • Data Science Foundations and Theories
  • Big Data System Platforms, Architectures and Infrastructure
  • Big Data Collection, Processing, Management, and Governance
  • Big Data Analytics and Mining
  • Big Models including AI and Large Language Models Deep Learning and Innovative Applications
  • Domain-specific Data Practice and Applications


Submission, Reviewing, and Publication

Submissions shall follow JDSA's submission guidelines (https://www.springer.com/journal/41060/submission-guidelines). As a conference's journal track, we ensure a fast-reviewing process. Initial decisions shall be made and notified in 1 month.

Submissions rejected by JDSA will be transferred to CCF BigData conference for its regular conference review with the consent of the author. Accepted submissions shall be included in the conference proceedings or recommended to other journals.


Submission website: https://www.springer.com/journal/41060


Guest Editors

  • Professor Cheng, Xueqi, Institute of Computing Technology of the Chinese Academy of Sciences, cxq@ict.ac.cn
  • Professor Wang, Li, Taiyuan University of Technology，wangli@tyut.edu.cn

For enquires related to the journal track, please send an email to Dr. Wang Li (wangli@tyut.edu.cn (this opens in a new tab)).

For CCF BigData 202*: https://ccf.org.cn/BigData202* (this opens in a new tab)  (* is the conference year)

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