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How to de-identify your data

  • Published:2015-11-23 Issue:12 Volume:58 Page:48-55
  • ISSN:0001-0782
  • Container-title:Communications of the ACM
  • language:en
  • Short-container-title:Commun. ACM

Author:

Angiuli Olivia1,Blitzstein Joe2,Waldo Jim2

Affiliation:

1. Quora

2. Harvard University

Abstract

Balancing statistical accuracy and subject privacy in large social-science datasets.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference3 articles.

1. Privacy, anonymity, and big data in the social sciences

2. k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

3. Educational privacy in the online classroom: FERPA, MOOCs, and the big data conundrum;Young E;Harvard Journal of Law & Technology,2015

Cited by 15 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. Managerial Controversies in Artificial Intelligence and Big Data Analytics;Research Anthology on Big Data Analytics, Architectures, and Applications;2022

2. Anonymization Technique For Privacy Preservation In Social Networks;2021 5th International Conference on Electrical, Electronics, Communication, Computer Technologies and Optimization Techniques (ICEECCOT);2021-12-10

3. Privacy-preserving clustering for big data in cyber-physical-social systems: Survey and perspectives;Information Sciences;2020-04

4. Techno-optimism and policy-pessimism in the public sector big data debate;Government Information Quarterly;2019-10

5. Hidden big data analytics issues in the healthcare industry;Health Informatics Journal;2019-07-02
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