Information
Starts: 15.09.2023 08:00
Ends: 17.09.2023 18:00
Location:
Guiyang, China
Guiyang
China
Promoter
NameMs. Maggie X. Xu
Email[email protected]
Websiteiccda.org
Description

Full name: 2023 The 7th International Conference on Computing and Data Analysis

Abbreviation: ICCDA 2023

September 15-17, 2023 - Guiyang, 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 editions of ICCDA were held in Florida Polytechnic University, Lakeland, Northern Illinois University (NIU) DeKalb, University of Hawaii Maui College, Kahului, Silicon Valley, USA, Sanya, China (Virtual); Shanghai, China (Virtual). ICCDA 2023 conference will be located in Guiyang, China during September 15-17, 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

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