Quasi-identifier Identification
Quasi-Identifier Identification is the systematic process of recognizing and classifying attributes within a dataset that, while not direct identifiers, can collectively or in combination with external information be used to re-identify individuals, thereby distinguishing it from the identification of explicit personal identifiers.
14
Publications
660
Citations
52
Authors
20
Institutions
Publications per year
2017–2026
5
Parents
14
Anonymizing sequential releases
Ke Wang, Benjamin C. M. Fung · 2006 · 257 citations
Utility-based anonymization for privacy preservation with less information loss
Jian Xu, Wei Wang, Jian Pei et al. · ACM SIGKDD Explorations Newsletter · 2006 · 78 citations
A New Method of Privacy Protection: Random k-Anonymous
Fagen Song, Tinghuai Ma, Yuan Tian et al. · IEEE Access · 2019 · 50 citations · Full text
Efficient Algorithms for Masking and Finding Quasi-Identifiers
Rajeev Motwani, Ying Xu · 2007 · 49 citations
1–5 of 14
52
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1
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Hong Kong University of Science and Technology, Hong Kong SAR China
1 publications · 21 citations
1
h-index
1
h-index
1
h-index
1–5 of 52
20
Simon Fraser University
Burnaby, Canada
3 h-index
5 publications
634 citations

Nanjing University of Information Science and Technology
Nanjing, China
2 h-index
2 publications
64 citations
University of Technology Sydney
Sydney, Australia
2 h-index
4 publications
242 citations
Chinese University of Hong Kong
Hong Kong, Hong Kong
2 h-index
3 publications
120 citations

King Saud University
Riyadh, Saudi Arabia
1 h-index
1 publications
50 citations

Zhejiang Normal University
Jinhua, China
1 h-index
5 publications
70 citations

University of Amsterdam
Amsterdam, The Netherlands
1 h-index
3 publications
51 citations
Nanjing Institute of Technology
Nanjing, China
1 h-index
1 publications
50 citations
1–8 of 20
2 publications · 60 citations
2
h-index
1 publications · 21 citations
1
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1 publications · 78 citations
1
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1 publications · 76 citations
1
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Conference · 1 publications · 23 citations
1
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1–5