*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