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About DSAA

The 11th IEEE International Conference on Data Science and Advanced Analytics (DSAA) features its strong interdisciplinary synergy between statistics, computing and information/intelligence sciences, 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'2024 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'2024 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.

News


Keynote Speakers [Details]

Ed H. Chi

Ed H. Chi

Google DeepMind
The Future of Discovery Assistance
Leman Akoglu

Leman Akoglu

Carnegie Mellon University
Toward Foundation Models for Unsupervised Learning
Yan Liu

Yan Liu

University of Southern California
Frontiers of Foundation Models for Time Series

Submission Deadlines

Time zone: Anywhere on Earth (AoE)
Special Session Proposal Due March 5 March 14, 2024
MLJ Journal Track Submission April 15, 2024
JDSA Journal Track Submission April 15 April 30, 2024
Tutorial Proposal Submission May 2, 2024
MLJ Journal Track Submission (Round 2) May 19, 2024
Research & Applications Track Paper Submission May 2 May 24, 2024
MLJ Revision Submission August 21, 2024
Student Forum Submission August 31 Sep 6, 2024

Please refer to Key Dates for complete timelines.


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