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CONF-CDS 2023 : 5th International Conference on Computing and Data Science (CONF-CDS 2023)

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Link: https://www.confcds.org
 
When Jul 14, 2023 - Jul 15, 2023
Where Macau,China
Submission Deadline Apr 4, 2023
Notification Due Apr 4, 2023
Final Version Due Apr 4, 2023
Categories    computer science   data science   machine learning   information technology
 

Call For Papers

5th International Conference on Computing and Data Science (CONF-CDS 2023)
Date:2023.07.14-15
Location: Macau, China(online and on-site)
Website: https://www.confcds.org
Event enquiries:info@confcds.org
Submission Deadline: 2022.11.4(early) 2023.04.04(regular) (email:submission@confcds.org)
Organizing society : Eliwise Academy
Registration deadline: 2023.7.1
Key Words: Computing; Machine Learning; Data Science
Introduction: The 5th International Conference on Computing and Data Science (CONF-CDS 2023) is a leading conference on computing technology, machine learning, computer science and data science hosted by Eliwise Academy. CONF-CDS is open to international participants. It provides an excellent opportunity for scholars interested in computing and data science to share their findings and achievements, thus promoting communication and cooperation.
This conference aims to bring together researchers and practitioners from academia and industry to highlight the importance of computing technologies and data science as well as establish new collaborations in these areas. The conference looks for significant contributions to computing, data mining and data science in theoretical and practical aspects.

CALL FOR PAPER:
Publication:
The paper accepted by CONF-CDS 2023 is planned to be published in Lecture Notes on Data Engineering and Communications Technologies or Applied and Computational Engineering, which will be submitted to EI Compendex, Conference Proceedings Citation Index (CPCI), Crossref, CNKI, DOAJ, Inspec, Scopus, Google Scholar, and other databases for indexing.

Topic List: https://www.confcds.org/topics.html
We invite submission of papers focusing on all aspects of computing and data science ranging from theoretical foundations to novel models and algorithms. We focus on challenges and applications in the fields of computing, machine learning, artificial Intelligence and data science. The topics of interest include but are not limited to:

Computing
Scientific Computing
Computer Modeling
Cloud Computing
Parallel Computing
Mobile Computing
Simulation
Computational Optimization
Distributed Computing
High Performance Computing
Soft Computing Theory and Applications

Machine Learning
Artificial Intelligence Tools & Applications
Hybrid Intelligent Systems
Natural Language Processing
Computer Vision
Image Processing
Heuristic and AI Planning Strategies and Tools
Computational Theories of Learning
Intelligent System Architectures
Neural Networks and Applications
Pervasive Computing and Ambient Intelligence
Reasoning and Evolution
Semantic Web Techniques and Technologies
Web Intelligence Applications and Search

Data Science
Data Mining
Big Data
Databases
Data Management
Data Analytics
Social Network Analysis
Time Series Analysis
Forecasting
Data Security

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