Call For Papers: The 1st Workshop on Data-Centric AI at ICDM 2023
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Dongjie Wang
Jul 21, 2023, 7:05:48 PM7/21/23
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CALL FOR PAPERS
The 1st International Workshop on Data-Centric AI (DCAI 2023)
https://data-centric-ai-dev.github.io/ICDM/
In conjunction with
The 21st IEEE International Conference on Data Mining (ICDM 2023)
Shanghai, China
December 1, 2023
We are pleased to announce the 1st International Workshop on Data-Centric AI (DCAI 2023). Held in tandem with ICDM 2023, DCAI 2023 is the perfect platform for scholars to publish original research on uncertainty-related issues in the varied aspects of data-centric AI.
PURPOSE AND SCOPE:
Data-Centric AI has been emerging as a field that revolutionizes the way we approach AI, putting data at the core. However, uncertainties within this field remain prominent, necessitating research to address these issues. Uncertainties can arise from various sources, such as varying data quality, rapidly changing environments, and incomplete or imprecise information.
Topics of interest for DCAI 2023 include but are not limited to, uncertainty models in data-centric AI, assessment techniques, data quality management, data integration, knowledge discovery, reasoning over uncertain services, trust management, data provenance, and security in uncertain environments.
SUBMISSION GUIDELINES:
We welcome electronic submissions of original research papers or experience reports in English. The manuscript should not exceed 6 pages plus 2 extra pages and should be prepared according to the IEEE format (https://www.ieee.org/conferences/publishing/templates.html). For paper submissions, please use the wi-lab system.
IMPORTANT DATES:
- Full paper submission: August 29, 2023
- Notification of acceptance: September 20, 2023
- Camera-ready copies due: October 1, 2023
- Workshop date: December 4, 2023
The 1st International Workshop on Data-Centric AI (DCAI 2023)
https://data-centric-ai-dev.github.io/ICDM/
In conjunction with
The 21st IEEE International Conference on Data Mining (ICDM 2023)
Shanghai, China
December 1, 2023
We are pleased to announce the 1st International Workshop on Data-Centric AI (DCAI 2023). Held in tandem with ICDM 2023, DCAI 2023 is the perfect platform for scholars to publish original research on uncertainty-related issues in the varied aspects of data-centric AI.
PURPOSE AND SCOPE:
Data-Centric AI has been emerging as a field that revolutionizes the way we approach AI, putting data at the core. However, uncertainties within this field remain prominent, necessitating research to address these issues. Uncertainties can arise from various sources, such as varying data quality, rapidly changing environments, and incomplete or imprecise information.
Topics of interest for DCAI 2023 include but are not limited to, uncertainty models in data-centric AI, assessment techniques, data quality management, data integration, knowledge discovery, reasoning over uncertain services, trust management, data provenance, and security in uncertain environments.
SUBMISSION GUIDELINES:
We welcome electronic submissions of original research papers or experience reports in English. The manuscript should not exceed 6 pages plus 2 extra pages and should be prepared according to the IEEE format (https://www.ieee.org/conferences/publishing/templates.html). For paper submissions, please use the wi-lab system.
IMPORTANT DATES:
- Full paper submission: August 29, 2023
- Notification of acceptance: September 20, 2023
- Camera-ready copies due: October 1, 2023
- Workshop date: December 4, 2023
DCAI Workshop Organizing Committee
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