International Conference on Computing and Data Analysis on November 14-16, 2025 in Chengdu, China
- Event Type: Conference
- Presentation: Physical
- Website URL: https://www.iccda.org/
- Program URL: https://www.iccda.org/program.html
- Contact URL: https://www.iccda.org/contacts.html
- Contact E-mail: [email protected]
- Location: Chengdu, China
- Date: November 14-16, 2025
- Final Submission: September 30, 2025
- Organization: czesnd
- Conference Tags: social computing signal computing computing data science big data engineering
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
Conference Awards:
Outstanding Organization Award
Outstanding Contribution Award
Best Paper Award
Best Oral Presentation Award
Best Poster Presentation Award
Submission Link:
https://www.zmeeting.org/submission/iccda2025
Contact:
Ms. Danica Cong
Tel.: +86 139 8006 2041
Email: [email protected]
WeChat: iconf-cs-2
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
Name: czesnd
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