Qingdao, China, the submission deadline has been extended to May 6!
The 12th China Computer Federation Big Data Academic Conference
(CCF Bigdata 2024)
Qingdao, Shandong
August 9-11, 2024
At the request of multiple authors, the deadline for papers has been extended to May 6, 2024
The CCF Big Data Conference is one of the most influential and largest academic conferences in the field of big data in China, and has been successfully held for 11 sessions. The 12th CCF BigData 2024 will be held in Qingdao, Shandong Province during August 9-11, 2024.
With the theme of "Model-Driven Innovation, Data Generates the Future", this conference will jointly discuss the opportunities and challenges faced by the field of big data in the era of digital economy and large models, and carry out academic exchanges and discussions on the processing, management, analysis and governance of big data. Experts from industry and relevant functional departments provide a platform for exchange and cooperation, share the latest research results and practical experience, jointly explore the innovative application of big data in various fields, promote the development of big data technology and industry, and contribute wisdom and strength to the construction of digital China.
Scope of Papers
This big data academic conference will solicit conference papers on the scientific basic theories, key technical methods and systems related to big data, and big data application research. The scope of the call for papers includes but is not limited to the following:
•Basic theories and methods of data science
•Big data system architecture and infrastructure
•Big data storage management models, technologies and systems
•Big data parallel computing models, frameworks and systems
•Theory and Technology of Computing Network Model
•Cloud-native big data system platform technology
•Big data analysis and mining and intelligent computing methods
•Big data collection and pre-processing technology
•Optimization modeling of big data problems and their algorithms, etc
•Big Data Generative Model Theory and Technology
•Technical methods and standards for data elements
•Big data governance technologies and tools
•Big data sharing, open technology methods and standards
•Network big data modeling and application
•Industry big data and large models
• Big data privacy and security protection
•Big data visualization analysis and calculation
•Big data industry and government applications
•Optimization and application practices of mainstream open source big data systems
•Big data system solutions and tool platforms
• Other research questions related to big data
Submission Requirements
• Papers must not have been published, please do not submit more than one manuscript.
•Accept submissions in both Chinese and English.
–Chinese paper layout standard A4 format, Word or PDF format, manuscripts should be written in accordance with the length and format requirements of journals such as Journal of Computers, Computer Research and Development, etc.
– The English paper layout is A4 format, Word or PDF format, and the manuscript is written according to the length and format requirements of the Springer CCIS conference paper. (Template provided by Springer: https://www.springer.com/gp/computer-science/lncs/conference-proceedings-guidelines)
•All submissions will be double-blind reviewed, and the paper should not contain any author-related information (such as name, affiliation, email, mailing address, funding project, etc.), and explicit self-citation (e.g., "Our previous work [xx]" should be avoided in the main text).
•Students (excluding postdoctoral fellows and working doctoral students) should indicate in the footnote of the first page of the manuscript for the first author of the paper, otherwise they will not be eligible to participate in the "Best Student Paper Award".
•Conference submission website: https://conf.ccf.org.cn/BigData2024/paper
Acceptance and publication of papers
All Chinese papers accepted by the conference will be recommended to the following Chinese cooperative journals for publication according to their quality, and there will be no separate Chinese proceedings.
•Chinese Journal of Computers (EI indexed, CCF-T1 journals)
•Computer Research and Development (EI indexed, CCF-T1 journals)
•Pattern Recognition and Artificial Intelligence (EI indexed, CCF-T2 journals)
• Computer Science (CCF-T2 Journal)
•Computer Applications (CCF-T2 Journals)
•Journal of Intelligent Systems (CCF-T2)
•Computer Engineering and Science (CCF-T2 Journal)
•Big Data (CCF-T2 Journals)
•Data Analysis & Knowledge Discovery (EI Indexed)
• Data collection and processing
•Journal of Tsinghua University (EI)
• Journal of Nanjing University
• Journal of Nanjing University of Aeronautics and Astronautics
• Journal of Taiyuan University of Technology
• Guangxi Science
The accepted English papers will be recommended for publication in the following English cooperative journals based on their quality, and the rest of the accepted English papers will be included in the conference proceedings and published by Springer CCIS (EI).
•International Journal of Machine Learning and Cybernetics（SCI收录）
•Tsinghua Science and Technology（SCI收录）
•Applied Sciences（SCI收录）专刊：Cloud Computing and Big Data Systems: New Trends and Applications
•Data Science and Engineering（ESCI、EI收录）
•International Journal of Data Science and Analytics（ESCI、EI收录）
•Journal of Data and Information Science（ESCI收录）
•Big Data Mining and Analytics（EI收录，CCF-T2类期刊）
Important Dates
The following are all Beijing time:
• Submission deadline: 23:59 on May 6, 2024 and 23:59 on April 21, 2024
•Notification of acceptance: 23:59 on June 14, 2024
• Revision and submission of the original manuscript: 23:59 on June 28, 2024
Note: For paper inquiries, please contact the email [email protected]
Meeting contact information
Official Website:
Hattops://ccf.org.cn/deterioration2024
About the CCF Big Data Expert Committee
The Big Data Expert Committee of China Computer Federation was established in Beijing in October 2012. It aims to build an academic and industry-wide high-end platform to promote exchanges and cooperation in academic research, enterprise application, management and governance at home and abroad, and at the same time, give full play to the role of a national think tank to provide decision-making support for the national big data development strategy, application and governance.
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