Method for creating privacy-preserving information using Probabilistic Latent Semantic Analysis

Author:

Sugawara Yuki1,Sakurai Eiichi2,Motomura Yoichi2,Okada Yukihiko3,Tanabe Kai4,Tsukao Akiko5,Kuno Shinya4

Affiliation:

1. National Institute of Advanced Industrial Science and Technology,Koto,Japan

2. National Institute of Advanced Industrial Science and Technology,Artificial Intelligence Research Center,Koto,Japan

3. Institute of Systems and Information Engineering, Center for Artificial Intelligence Research University of Tsukuba,Tsukuba,Japan

4. University of Tsukuba,Faculty of Health and Sport Sciences, R&D Center for Smart Wellness City Policies,Tsukuba,Japan

5. Tsukuba Wellness Research Co., Ltd,Kashiwa,Japan

Funder

Health

Publisher

IEEE

Reference37 articles.

1. Data analytics in a privacy-concerned world

2. Non-readily identifiable data collaboration analysis for multiple datasets including personal information

3. General Data Protection Regulation;Official Journal of the European Union,2018

4. Kojinn jyuohou no hogo ni kannsuru houritu ni tuite no guideline,2022

5. k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

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