Submission Deadline 投稿截止
Please submit your manuscripts to ICCBD 2022 before the deadline.
2022 5th International Conference on Computing and Big Data(ICCBD 2022)
2022 5th International Conference on Computing and Big Data (ICCBD 2022) will be held in University of Shanghai for Science and Technology, China during October 28-30, 2022.
The theme of the conference is "Big Data Analytics for Smart Energy Systems".
ICCBD 2022 is organized by Shanghai University of Technology, China and co-organized by Bournemouth University, UK, Shanghai Jiao Tong University, China and Southern University of Science and Technology, China. And technical sponsored by Special Technical Communities on Big Data, IEEE Computer Society.
Computing and big data are emerging research fields that have recently drawn much attention from computer science and information technology as well as from social sciences and other disciplines. The goal of the International Conference on Computing and Big Data (ICCBD) is to provide an international forum for exchanging ideas and information on current studies, challenges, research results, system developments, and practical experiences in these emerging fields. ICCBD 2022 invites authors to submit original research papers and original work-in-progress reports on computing and big data.
第五届计算与大数据国际会议(ICCBD 2022)将于2022年10月28-30日在中国上海，上海理工大学召开。ICCBD 2022由上海理工大学主办, 英国波恩茅斯大学, 上海交通大学和南方科技大学协办并由IEEE计算机协会大数据专委会提供技术支持。随着数字经济发展热潮兴起、数字中国建设走向深入、数字化转型需求大量释放，我国大数据产业迎来新的发展机遇期，大数据与云计算、人工智能、区块链等新一代信息技术加速融合创新，从感知型应用向预测型、决策型应用发展，面向互联网、金融、电信、工业等领域的大数据服务将实现倍增创新，将呈现出互联网大数据应用进入强监管时代、金融大数据向智能化共享化方向演进、电信大数据迎接5G时代到来、工业大数据需求旺盛、能源大数据基础建设加快推进的态势，大数据与特定行业应用场景结合度日益深化，应用成熟度和商业化程度将持续升级。 本届大会将聚焦“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。
The accepted paper will be included into ICCBD 2022 Conference Proceedings, and submitted to Xplore, Ei Compendex, Scopus, as well as other Abstracting and Indexing (A&I) databases. At least one author of accepted papers are required to participate this year's conference and make a presentation.
ICCBD2022会议论文将出版到会议论文集并提交Ei核心、Scopus等检索; 文章作者将被邀请参会做口头报告。
Welcome you to submit the paper via EasyChair Submission System.
Previse ICCBD 出版历史
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
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.
Listener Online Registration ·听众注册·
Please fill the information and complete the payment via Online Payment System.
You need to email the Payment Order ID & Payment Email to iccbd@academic.net and wait for the secretary‘s comfirmation.
您需要将包含付款成功的ID和付款电子邮件等信息发送会议邮箱，等待秘书确认。
Catch Up the Dates
Please submit your manuscripts to ICCBD 2022 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 2022 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 | IoT & Smart City |
| 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 |
IoT Architectures and Protocols IoT in 5G Networks, IoT Mobility Localization, and Tracking Mobile Internet of Things (MIoT) Industrial IoT (IIoT) and Industry 4.0 Architectures for IoT gateways Network overlay management in IoT Virtualization in IoT, Security Internet of Healthcare Health and Medical Wireless Applications E-health Applications and Services Smart Grids and Microgrids |
More Topics
