Achieving Anonymity via Clustering

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Issue:

Technology

 

Written by:

Alpha P

 

Date added:

February 25, 2016

 

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Grade:

A

 

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3 / 621

 

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3664 times

 

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Dept. University of Maryland College Park, MD 20742 samir@cs.umd.edu Rina Panigrahy2,4 Comp. Sc. Dept. Stanford University Stanford, CA 94305 rinap@cs.stanford.edu Dilys Thomas2 Comp. Sc. Dept. Stanford University Stanford, CA 94305 dilys@cs.stanford.edu An Zhu1 Google Inc. Mountain View, CA 94043 anzhu@cs...
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The traditional approach of de-identifying records is to remove identifying fields such as social security number, name etc. However, recent research has shown that a large fraction of the US population can be identified using non-key attributes (called quasi-identifiers) such as date of birth, gender, and zip code [15]...
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