Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector-Reference-Cited by-同舟云学术

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Enhancing Data Governance through Data-Centric AI: Case Study in New Zealand Government Sector

Published:2024-03-14 Issue: Volume:12320 Page:64-69
ISSN:
Container-title:2024 16th International Conference on Computer and Automation Engineering (ICCAE)
language:
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Author:

Wang Alex X.¹,Simpson Colin R.²,Nguyen Binh P.¹

Affiliation:

1. School of Mathematics and Statistics Victoria University of Wellington,Wellington,New Zealand

2. Wellington Faculty of Health Victoria University of Wellington,Wellington,New Zealand

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10569140/10569143/10569739.pdf?arnumber=10569739

Reference20 articles.

1. Privacy and utility of private synthetic data for medical data analyses;Appenzeller,2022

2. On the use of random forest for two-sample testing;Hediger,2022

3. Synthetic data generation for tabular health records: A systematic review;Hernandez,2022

4. Privacy-preserving synthetic data generation for recommendation systems;Liu,2022

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