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Research AN ZHU SAMIR KHULLER Google Inc. University of Maryland Abstract. Publishing data for analysis from a table containing personal records, while maintaining individual privacy, is a problem of increasing importance today. The traditional approach of deidentifying records is to remove identifying fields such as social security number, name, etc. However, recent research has shown that a large fraction of the U.S. population can be identified using nonkey attributes (called quasi-ident.
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Keywords relevant to Achieving Anonymity Via Clustering - Microsoft Research
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