Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis-Reference-Cited by-同舟云学术

Preserving empirical data utility in k-anonymous microaggregation via linear discriminant analysis

Published:2020-09 Issue: Volume:94 Page:103787
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Rodríguez-Hoyos Ana,Rebollo-Monedero David,Estrada-Jiménez José,Forné Jordi,Urquiza-Aguiar Luis

Funder

Spanish Ministry of Economy and Competitiveness

Escuela Politécnica Nacional (EPN), Republic of Ecuador

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference67 articles.

1. Semantic disclosure control: semantics meets data privacy;Batet;Semant. Discl. Control: Semant. Meets Data Priv.,2018

2. Every company is a data company;Bean;Forbes,2018

3. Machine learning explainability via microaggregation and shallow decision trees;Blanco-Justicia;Knowl.-Based Syst.,2020

4. TFRP: An efficient microaggregation algorithm for statistical disclosure control;Chang;J. Syst. Softw.,2007

5. Dankar, F.K., Brien, R., Adams, C., Matwin, S., 2014. Secure multi-party linear regression. In: Proceedings of the International Joint Conference on Extending Database Technology, and Database Theory (EDBT/ICDT). Athens, Greece. pp. 406–414.

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spectral and spatial reduction of hyperspectral image guided by data reconstruction and superpixels;Engineering Applications of Artificial Intelligence;2022-05

2. Privacy preserving dynamic data release against synonymous linkage based on microaggregation;Scientific Reports;2022-02-11

3. A Deep Neural Network Based Feature Learning Method for Well Log Interpretation;Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;2021