A Review on Privacy-Preserving Data Mining-Reference-Cited by-同舟云学术

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A Review on Privacy-Preserving Data Mining

Published:2014-09 Issue: Volume: Page:
ISSN:
Container-title:2014 IEEE International Conference on Computer and Information Technology
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Author:

Li Xueyun,Yan Zheng,Zhang Peng

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/6973087/6984594/06984749.pdf?arnumber=6984749

Cited by 20 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. Efficient perturbation techniques for preserving privacy of multivariate sensitive data;Array;2023-12

2. Privacy‐preserving data mining and machine learning in healthcare: Applications, challenges, and solutions;WIREs Data Mining and Knowledge Discovery;2023-01-24

3. A comprehensive privacy and security framework for dynamic protection (CPSF);International Journal of Information Technology;2022-05-16

4. Achieving Data Privacy Using Extended NMF;Machine Intelligence and Data Science Applications;2022

5. The Generic Framework of Privacy Preserving Data Mining Phases: Challenges & Future Directions;2021 Tenth International Conference on Intelligent Computing and Information Systems (ICICIS);2021-12-05

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