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

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Link: http://iccda.org/
 
When Sep 15, 2023 - Sep 17, 2023
Where Guiyang, China
Submission Deadline Aug 10, 2023
Categories    computer science   data mining   information technology   big data
 

Call For Papers

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
Tmail: iccda_info@163.com
Wechat: iconf-cs-1

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