A New Privacy-Preserving Data Mining Method Using Non-negative Matrix Factorization and Singular Value Decomposition-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A New Privacy-Preserving Data Mining Method Using Non-negative Matrix Factorization and Singular Value Decomposition

Published:2018-01-05 Issue:2 Volume:102 Page:1799-1808
ISSN:0929-6212
Container-title:Wireless Personal Communications
language:en
Short-container-title:Wireless Pers Commun

Author:

Li Guang,Xue Rui

Funder

Natural Science Basic Research Plan in Shaanxi Province of China

the basic research fund of Chang’an University

the Chinese NNSF (National Nature Science Foundation)

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Science Applications

Link

http://link.springer.com/article/10.1007/s11277-017-5237-5/fulltext.html

Reference19 articles.

1. Peng, J., Lu, J., Shang, X., & Chen, J. (2017). Identifying consistent disease subnetworks using DNet. Methods, 131, 104–110.

2. Peng, J., Xue, H., Shao, Y., Shang, X., Wang, Y., & Chen, J. (2017). A novel method to measure the semantic similarity of HPO terms. International Journal of Data Mining and Bioinformatics, 17(2), 173–188.

3. Hall, M. A., & Rich, S. S. (2000). Patients’ fear of genetic discrimination by health insurers: The impact of legal protections. Genetics in Medicine, 2(4), 214–221.

4. Clayton, E. (2003). Ethical, legal, and social implications of genomic medicine. New England Journal of Medicine, 349(6), 562–569.

5. Vaghashia, H., & Ganatra, A. (2015). A survey: Privacy preservation techniques in data mining. International Journal of Computer Applications, 119(4), 20–26.

Cited by 12 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. SEGC-PP: structure entropy-based graph clustering algorithm for privacy preservation in social internet of things;International Journal of Information and Computer Security;2024

2. Privacy-preserving data (stream) mining techniques and their impact on data mining accuracy: a systematic literature review;Artificial Intelligence Review;2023-02-22

3. Evaluating Partitioning Based Clustering Methods for Extended Non-negative Matrix Factorization (NMF);Intelligent Automation & Soft Computing;2023

4. Analysis of Strategies for Minimising End-to-End Latency in 5G Networks;2022 International Conference on Broadband Communications for Next Generation Networks and Multimedia Applications (CoBCom);2022-07-12

5. Differentially Private Singular Value Decomposition for Training Support Vector Machines;Computational Intelligence and Neuroscience;2022-03-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号京ICP备18003416号-3