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학술대회 Artificial Intelligence-Enabled Data Value Curation on AI-Data Commons
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저자
엄보윤, 임선환, 서영호, 우성필, 박동환, 박찬원
발행일
202110
출처
International Conference on Information and Communication Technology Convergence (ICTC) 2021, pp.1-3
DOI
https://dx.doi.org/10.1109/ICTC52510.2021.9620838
협약과제
21HR4500, 5G-IoT 기반 고신뢰 AI-데이터 커먼즈 프레임워크 핵심기술 개발, 임선환
초록
Recently, as the artificial intelligence technologies have been growing, the demands for 'good' data which affects the prediction accuracy of AI also have been increased. Therefore, there has been extensive work conducted on various aspects of dealing with data such as collecting, analyzing and monetizing. However, there are issues to be considered in trading data. In this paper, we introduce the enhanced AI-Data Commons which is ameliorated to solve a couple of problems in trading data.
KSP 제안 키워드
Data Commons, Prediction accuracy, artificial intelligence, data value