Achieving anonymity via clustering

    ACM Transactions on Algorithms, Volume 6, Issue 3, 2006, Pages 153-162.

    Cited by: 420|Bibtex|Views19|Links
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    Keywords:
    publishing datasmall fractionachieving anonymityprivacycluster centerMore(12+)

    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 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 t...More

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