CONFERENCES

ICCDA 2022
0

2022 The 6th International Conference on Compute and Data Analysis

posted by organizer: ||52 views||Release time:Oct 16, 2024

Conference DateFeb 18-Feb 20, 2022PlaceSanya, China
Submission DeadlineDec 31, 2021E-mailiccda_info@163.com
Websitehttp://iccda.org/Telephone+86 138 8010 4517
DESCRIPTION
Full name: 2022 The 6th International Conference on Compute and Data Analysis (ICCDA 2022)--Ei Compendex, Scopus Abbreviation: ICCDA 2022 February 18-20, 2022 - Sanya, China More details, please visit: http://iccda.org/ The International Conference on Compute 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. ICCDA 2022 conference will be located in Sanya, China during February 18-20, 2022. *Proceedings: 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 2021, ISBN: 978-1-4503-8911-2, online: soon 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: http://www.easychair.org/conferences/?conf=iccda2022 *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 *Contact: Ms. Maggie Lau Tel.: +86 138 8010 4517 Email: iccda_info@163.com Wechat: iconf-cs

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