Using sample size to limit exposure to data mining-Reference-Cited by-同舟云学术

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Using sample size to limit exposure to data mining

Published:2000-10-01 Issue:4 Volume:8 Page:281-307
ISSN:1875-8924
Container-title:Journal of Computer Security
language:
Short-container-title:JCS

Author:

Clifton Chris¹

Affiliation:

1. The MITRE Corporation, 202 Burlington Road, Bedford, MA 01730-1420, USA. Tel.: ; Fax: ; E-mail: clifton@mitre.org

Publisher

IOS Press

Subject

Computer Networks and Communications,Hardware and Architecture,Safety, Risk, Reliability and Quality,Software

Cited by 38 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. Privacy Information Leakage Prevention in Cognitive Social Mining Applications;Research Anthology on Privatizing and Securing Data;2021

2. Association Rule Hiding in Privacy Preserving Data Mining;Research Anthology on Privatizing and Securing Data;2021

3. Ameliorating the Privacy on Large Scale Aviation Dataset by Implementing MapReduce Multidimensional Hybrid k-Anonymization;Research Anthology on Privatizing and Securing Data;2021

4. Building Access Control Policy Model for Privacy Preserving and Testing Policy Conflicting Problems;Access Control Management in Cloud Environments;2020

5. Ameliorating the Privacy on Large Scale Aviation Dataset by Implementing MapReduce Multidimensional Hybrid k-Anonymization;International Journal of Web Portals;2019-07

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