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CIBDA 2027 : 8th International Conference on Computer Information and Big Data Applications

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Link: https://www.ic-cibda.org/
 
When Mar 19, 2027 - Mar 21, 2027
Where Wuhan, China
Submission Deadline Jan 12, 2027
Notification Due Feb 12, 2027
Final Version Due Feb 28, 2027
Categories    artificial intelligence   machine learning   data science   information science
 

Call For Papers

The 2027 8th International Conference on Computer Information and Big Data Applications (CIBDA 2027) will be held on March 19-21, 2027 in Wuhan, China. CIBDA 2027 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.

The topics of interest for submission include, but are not limited to:

1. Computer Technology

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.

2. Big Data

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.

3. Information Science

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.

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