Submission Deadline 投稿截止
Please submit your manuscripts to ICCBD 2024 before the deadline.
2024 7th International Conference on Computing and Big Data(ICCBD 2024)
2024 7th International Conference on Computing and Big Data (ICCBD 2024) will be held in University of Shanghai for Science and Technology, China during October 25-27, 2024.
The theme of the conference is "Data-Centric Computing: Bridging the Gap Between Theory and Practice".
ICCBD 2024 is organized by University of Shanghai for Science and Technology, China and supported by Southern University of Science and Technology, China, Shanghai Jiao Tong University, China.
Under the theme of "Data-Centric
Computing: Bridging the Gap Between Theory and
Practice," ICCBD 2024 aims to serve as a premier
platform for researchers, practitioners, and
industry experts to explore the latest advancements,
challenges, and opportunities in the dynamic fields
of computing and big data.
In an era characterized by unprecedented volumes of
data generated from diverse sources, data-centric
computing has emerged as a fundamental paradigm
reshaping the way we process, analyze, and derive
insights from information. ICCBD 2024 seeks to
foster discussions and collaborations centered
around harnessing the power of data-centric
approaches to address real-world problems and drive
innovation across various domains.
第七届计算与大数据国际会议(ICCBD 2024)将于2024年10月25日至27日在中国上海理工大学举行。此次会议由上海理工大学主办,南方科技大学和上海交通大学协办。会议主题为“以数据为中心的计算:弥合理论与实践之间的差距”。随着数字经济的快速发展,数字中国建设日益深入,以及数字化转型需求的不断释放,我国大数据产业迎来了新的发展机遇。大数据与云计算、人工智能、区块链等新一代信息技术不断融合创新,从感知型应用向预测型、决策型应用发展。在互联网、金融、电信、工业等领域,大数据服务将实现倍增创新。本次会议将聚焦于“十四五”期间和2035年远景目标《建议》中的大数据产业及数字经济发展新趋势。会议主题围绕大数据算法、大数据挖掘与分析、大数据处理与查询、智能计算等研究领域展开讨论,旨在为相关研究方向的教授学者及企业发展人提供一个分享研究成果、讨论存在的问题与挑战、探索前沿科技的国际性合作交流平台。此次会议旨在促进大数据计算等领域的学术交流与合作,热忱欢迎从事相关技术研究的专家、学者和专业技术人员踊跃投稿并参加大会。
All accepted full papers will be published in the ICCBD 2024 Conference Proceedings. The proceedings will be indexed by Ei Compendex, Scopus, and other prominent databases. It is mandatory for at least one author of each accepted paper to actively participate in this year's conference and deliver a presentation.
ICCBD 2024收录的论文将被收录到在线数据库,被Ei Compendex 和Scopus检索。文章被接受并完成注册的作者将被邀请参会做口头报告。
Previse ICCBD 出版历史
ICCBD 2023| ISBN: 979-8-3503-1699-5| IEEE Xplore | Indexed by: EI Compendex, Scopus
ICCBD 2022| ISBN: 978-0-7381-1257-2| IEEE Xplore | Indexed by: EI Compendex, Scopus
ICCBD 2021| ISBN: 978-1-4503-8719-4| ACM Digital Library | Indexed by: EI Compendex, Scopus
ICCBD 2020| ISBN: 978-1-4503-8786-6| ACM Digital Library | Indexed by: EI Compendex, Scopus
ICCBD 2019| ISBN: 978-1-4503-7290-9| ACM Digital Library | Indexed by: EI Compendex, Scopus
ICCBD 2018| ISBN: 978-1-4503-6540-6| ACM Digital Library | Indexed by: EI Compendex, Scopus
Conference Notice 提示!
!!! Please identify the official
email address and phone number of the conference.
Unofficial emails or phone calls do not represent
the views of the conference. It may involve fraud in
the name of conference, please pay attention to the
screening.
请注意甄别会议官方邮箱和电话,一切非官方邮件和电话均不代表本会议立场。可能涉及冒用会议名义的诈骗,请提高警惕,及时联系官方确认。
Welcome you to submit the paper via EasyChair Submission System.
Full Paper (Presentation and Publication)
Abstract (Presentation
only)
Accepted abstract will be invited to give the oral
presentation or poster presentation at the conference,
the presentation will not be published.
Prepare your manuscript in English.
Please ensure that your manuscript does not contain grammatical and language errors.
All third party work included in your paper should be properly acknowledged with referencing.
The manuscripts should be submitted as a PDF document in .pdf format.
Catch Up the Dates
Please submit your manuscripts to ICCBD 2024 before the deadline.
The conference secretary will inform you the review result by the deadline.
To aviod any inconvenience for your participation, please don't miss the deadline.
ICCBD 2024 solicits research papers describing significant and innovative research contributions to the field of computing and big data. We invite submissions on a wide range of research topics, spanning both theoretical and systems research. Topics include but are not limited to:
Big Data Analytics | Big Data Science and Engineering | Data-Centric Architectures |
Novel Theoretical and Computational
Models Framework for Data Understanding and Quality New Data Standards and Programming Models Infrastructure, Architecture and Platform Big Data Management and Application Algorithms and Techniques for Real-world Applications Visualization Analytics Multimedia and Multi-structured Data City-scale Data Mining and Machine Learning Issues, problems and opportunities in Big Data |
Algorithms and Programming Techniques for
Big Data Processing Big Data in Enterprise Management Models and Practices Big Data in Smart Planet Solutions Big Data Open Platforms Big Data Persistence and Preservation Big Data Quality and Provenance Control Big Data Toolkits Collaborative Threat Detection using Big Data Analysis Analytics Intelligent Data Processing Scientific Applications of Big Data Visualization Analytics for Big Data |
Distributed Data Processing Frameworks Stream Processing Architectures Edge Computing Architectures Data Warehousing and OLAP Architectures Microservices and Containerization Serverless Computing Architectures Hybrid and Multi-Cloud Architectures Security and Privacy in Data-Centric Architectures Scalable Storage Architectures AI-Driven Architectures |
More Topics