2023 The 7th International Conference on Computing and Data Analysis (ICCDA 2023)

*Proceedings
Full Paper submitted and accepted after successful registration will be published by ACM Conference Proceedings (ISBN: 979-8-4007-0057-6) , the content will be submitted to Ei compendex, Scopus, etc.

*Previous ICCDA
Past ICCDA papers were all published in the prestigious ACM proceedings:
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/iccda2023

*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

*Venue
Guizhou University 
Address: South Jiaxiu Road, Huaxi District, Guiyang, Guizhou, China

*Contact
Ms. Maggie X. Xu
Tel.: +86 180 8007 5398
Email: [email protected]
Wechat: iconf-cs-1