2025 The 9th International Conference on Computing and Data Analysis (ICCDA 2025)
ICCDA 2025
- URL: http://iccda.org/
- Event Date: 2025-11-14 ~ 2025-11-16
- Submission Date: 2025-10-01
- Location: Chengdu, China
Data Mining & Analysis Engineering & Computer Science (General)
Full name: 2025 The 9th International Conference on Computing and Data Analysis
Abbreviation: ICCDA 2025
November 14-16, 2025 - Chengdu, China
More details, please visit: www.iccda.org
International Conference on Computing and Data Analysis (ICCDA) is an annual conference held each year. It is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice of computing and data analysis.
ICCDA 2025 will be located in Chengdu, China during November 14-16, 2025. It is hosted by Sichuan Tourism University, China and Chengdu University of Technology, China, and co-sponsored by Wenzhou University of Technology, China, Wenzhou University, China, Wenzhou Business College, China, and Concordia University, Canada, supported by Wenzhou Computer Federation, Wenzhou Software Industry Association. The previous editions of ICCDA were held in Wenzhou, China; Guizhou, China; Shanghai, China (Virtual); Sanya, China (Virtual); Silicon Valley, USA; University of Hawaii Maui College, Kahului; Northern Illinois University (NIU) DeKalb Florida Polytechnic University, Lakeland.
*Conference Awards
Outstanding Organization Award
Outstanding Contribution Award
Best Paper Award
Best Oral Presentation Award
Best Poster Presentation Award
*Proceedings
Full Paper submitted and accepted after successful registration will be published by ICCDA Conference Proceedings, which will be indexed by Scopus & Ei Compendex.
*Previous ICCDA
Past ICCDA papers were all published in the prestigious ACM proceedings:
ICCDA 2024, ISBN: 979-8-4007-1044-5, index soon
ICCDA 2023, ISBN: 979-8-4007-0057-6 EI, Scopus indexed
ICCDA 2022, ISBN: 978-1-4503-9547-2, EI, Scopus indexed
ICCDA 2021, ISBN: 978-1-4503-8911-2, EI, Scopus indexed
ICCDA 2020, ISBN: 978-1-4503-7644-0, EI, Scopus indexed
ICCDA 2019, ISBN: 978-1-4503-6634-2, EI, Scopus indexed
ICCDA 2018, ISBN: 978-1-4503-6359-4, EI, Scopus indexed
ICCDA 2017, ISBN: 978-1-4503-5241-3, EI, Scopus indexed
*Submission Link
https://www.zmeeting.org/submission/iccda2025
*Topics
Mathematical, probabilistic and statistical models and theories
Machine learning theories, models and systems
Knowledge discovery theories, models and systems
Manifold and metric learning
Deep learning
Scalable analysis and learning
Non-iidness learning
Heterogeneous data/information integration
Data pre-processing, sampling and reduction
Dimensionality reduction
Feature selection, transformation and construction
Large scale optimization
High performance computing for data analytics
Architecture, management and process for data science
More topics: http://iccda.org/cfp.html
*Contact
Ms. Danica Cong
Tel.: +86 139 8006 2041
Email: iccda_info@163.com
Wechat: iconf-cs-2
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