data mining & big dataComputer Science and Technologies

The 9th IEEE International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics (via ASA), computing and information/intelligence sciences (via IEEE and ACM), and cross-domain interactions between academia and business for data science and analytics. DSAA sets up a high standard for its organizing committee, keynote speeches, submissions to main conference and special sessions, and a competitive rate for paper acceptance. DSAA has been widely recognized as a dedicated flagship annual meeting in data science and analytics such as by the Google Metrics and China Computer Foundation. DSAA'2022 provides a premier forum that brings together researchers, industry and government practitioners, as well as developers and users of big data solutions for the exchange of the latest theoretical developments in Data Science and the best practice for a wide range of applications. DSAA'2022 invites submissions of papers describing innovative research on all aspects of data science and advanced analytics as well as application-oriented papers that make significant, original, and reproducible contributions to improving the practice of data science and analytics in real-world scenarios.

This track solicits the latest, original and significant contributions related to foundations and theoretical developments of Data Science and Advanced Analytics. Topics of interest include but are not limited to:
Data science foundations and theories
Mathematics and statistics for data science and analytics
Understanding data characteristics and complexities
Machine/deep/statistical learning-based algorithms
Advanced analytics and knowledge discovery methods
Computer vision and pattern recognition
Optimization theories and methods
Large-scale databases, big-data processing, distributed processing, and ethical analytics
Model explainability and provenance
Theories and methods for evaluation, explanation, visualization, and presentation
Survey and review