2022 The 6th International Conference on Compute and Data Analysis (ICCDA 2022)

data mining & big dataComputer Science and Technologies

Conference Date

Feb 18-20, 2022

Place

Sanya, China

Submission Deadline

Dec 05, 2021

E-mail

iccda_info@163.com

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