(ICCDA 2024) 2024 The 8th International Conference on Computing and Data Analysis

data mining & big datacomputing

Conference Date

Nov 15-Nov 17, 2024

Place

Wenzhou, China

Submission Deadline

Oct 15, 2024

E-mail

iccda_info@163.com

Telephone

+86 180 8007 5398

Description

Full name: 2024 The 8th International Conference on Computing and Data Analysis
Abbreviation: ICCDA 2024
November 15-17, 2024 - Wenzhou, China
More details, please visit: http://iccda.org/

The International Conference on Computing and Data Analysis (ICCDA), is an annual conference hold 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.

The previous ICCDA was held in Florida Polytechnic University, Lakeland, USA (2017), Northern Illinois University (NIU) DeKalb, USA (2018), University of Hawaii Maui College, Kahului, USA (2019), Silicon Valley, USA (2020), Sanya, China (Virtual, 2021), Shanghai, China (Virtual, 2022), and Guiyang, China (2023). ICCDA 2024 conference will be located in Wenzhou, China during November 15-17, 2024.

*Proceedings:
Full Paper submitted and accepted after successful registration will be published by ACM Conference Proceedings (ISBN: 979-8-4007-1041-4 ), which will be indexed by Scopus & Ei Compendex.

*Previous ICCDA:
Past ICCDA papers were all published in the prestigious ACM proceedings:
ICCDA 2023, ISBN: 979-8-4007-0057-6, EI, Scopus indexing
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/iccda2024

*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:
Wenzhou University of Technology
Address: No. 337, Jinhai 3rd Road, Wenzhou Economic and Technological Development Zone, Zhejiang Province, China

*Contact:
Ms. Maggie X. Xu
Tel.: +86 180 8007 5398
E-mail: iccda_info@163.com
WeChat: iconf-cs-1