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Basic Information

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

Website: http://iccda.org/


Guiyang, China

Conference Date

Jul 20 - Jul 22, 2023

Submission Deadline

Mar 15, 2023


Guizhou University

Subjects: Computer Science and Technologies


Indexing: EI Compendex,Scopus

Short Description

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

Abbreviation: ICCDA 2023
July 20-22, 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 compute 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 July 20-22, 2023.
Accepted and presented papers will be published into the Conference Proceedings, indexed by 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:
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
Ms. Maggie X. Xu
Tmail: iccda_info@163.com


E-mail: iccda_info@163.com


Rank: ★★★★


Online Proceedings:

Indexing Proof: View

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