ACM--2021 The 5th International Conference on Compute and Data Analysis (ICCDA 2021)--Ei compendex, scopus ICCDA 2021

ICCDA--ACM, Ei, Scopus 2021


Data Mining & Analysis Databases & Information Systems



ACM--2021 The 5th International Conference on Compute and Data Analysis (ICCDA 2021)--Ei compendex, scopus
ICCDA 2021
February 2-4, 2021 - 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 2021 conference will be located in Sanya, China during .
*Proceedings
Accepted and presented papers will be published into the ACM Conference Proceedings, indexed by Ei compendex, scopus, etc.
*Venue
Harman Resort Hotel Sanya (Pending)
136 Yuya Road, Jiyang District, 572000 Sanya, China
http://harman.hotel-in-sanya.com/en/
*Previous ICCDA
Past ICCDA papers were all published in the prestigious ACM proceedings:
ICCDA 2020, ISBN: 978-1-4503-7644-0, EI, Scopus indexing
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=iccda2021
*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