AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI-Reference-Cited by-同舟云学术

AI Data Readiness Inspector (AIDRIN) for Quantitative Assessment of Data Readiness for AI

Published:2024-07-10 Issue: Volume:10 Page:1-12
ISSN:
Container-title:Proceedings of the 36th International Conference on Scientific and Statistical Database Management
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Author:

Hiniduma Kaveen¹^ORCID,Byna Suren²^ORCID,Bez Jean Luca³^ORCID,Madduri Ravi⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, The Ohio State University, USA

2. Department of Computer Science and Engineering, The Ohio State University, USA and Scientific Data Division, Lawrence Berkeley National Laboratory, USA

3. Scientific Data Division, Lawrence Berkeley National Laboratory, USA

4. Data Science and Learning, Argonne National Laboratory, USA

Funder

U.S. Department of Energy, Office of Science

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3676288.3676296

Reference51 articles.

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3. [n. d.]. DCAT-US Schema v1.1 (Project Open Data Metadata Schema). Project Open Data Metadata Schema. resources.data.gov/resources/dcat-us/ Feb. 2024.

4. K. Aas M. Jullum and A. Løland. 2019. Explaining Individual Predictions When Features Are Dependent: More Accurate Approximations to Shapley Values. arXiv preprint arXiv:1903.10464 [cs stat] (March 2019). http://arxiv.org/abs/1903.10464

5. S. Afzal, C. Rajmohan, M. Kesarwani, S. Mehta, and H. Patel. 2020. Data Readiness Report. In IEEE Int. Conference on Smart Data Services (SMDS). 42–51.