*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