ABOUT CIBDA 2023
The 2023 4nd International Conference on Computer Information and Big Data Applications (CIBDA 2023) will be held on April 28-30, 2023 in Wuhan, China. CIBDA 2023 is to bring together innovative academics and industrial experts in the field of computer information and big data to a common forum. The primary goal of the conference is to promote research and developmental activities in computer information and big data and another goal is to promote scientific information interchange between researchers, developers, engineers, students, and practitioners working all around the world. The conference will be held every year to make it an ideal platform for people to share views and experiences in computer information and big data and related areas.
We warmly invite you to participate in CIBDA 2023 and look forward to seeing you in Wuhan.
Conference Proceedings
 | All the accepted regular full papers will be included in Conference Proceedings. At least one author of accepted papers are required to participate this year's conference and make a presentation. Click here to submit your paper!! CIBDA 2022, ISBN: 978-3-8007-5876-0, EI Compendex，Scopus CIBDA 2021, ISSN: 1742-6588, EI Compendex，Conference proceedings in JPCS CIBDA 2020, ISBN: 978-1-7281-9837-8, IEEE Xplore Online, EI Compendex，Scopus |
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Call For Paper
| Computer Technology | Information Science | Big Data |
Artificial intelligence Machine Learning Computer network Wireless Sensor Network Automation Software Engineering Bioinformatics and Scientific Computing Computer Aided Design Computer Animation Computer Modeling Computer Security Computer Simulation Mobile Computing | Information system planning and management System analysis and design method Distributed information system Accounting and financial information system Internet technology Information quality and strategy Decision Support Systems Information Technology Management Knowledge management Enterprise Information System | Data analysis / Data flow application Data science models and methods Algorithms for big data Big data and deep learning Big data and high-performance computing Big data network infrastructure Multi-core computing and accelerator Big data applications for the Internet of Things Big data mobile applications Big data applications in smart cities Fault tolerance and reliability Scalability of big data systems |
| Other related topics（Click to learn more） | ||
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