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

Website http://iccda.org/ | Edit Freely

Category Compute and Data Analysis

Deadline: December 31, 2021 | Date: February 18, 2022-February 20, 2022

Venue/Country: Sanya, China

Updated: 2021-12-06 18:16:26 (GMT+9)

Call For Papers - CFP

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_info163.com

Wechat: iconf-cs