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      Ordinal, Continuous and Heterogeneous k-Anonymity Through Microaggregation

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      Data Mining and Knowledge Discovery
      Springer Nature

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          k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY

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            Protecting respondents identities in microdata release

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              ACHIEVING k-ANONYMITY PRIVACY PROTECTION USING GENERALIZATION AND SUPPRESSION

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                Author and article information

                Journal
                Data Mining and Knowledge Discovery
                Data Min Knowl Disc
                Springer Nature
                1384-5810
                1573-756X
                September 2005
                August 23 2005
                : 11
                : 2
                : 195-212
                Article
                10.1007/s10618-005-0007-5
                6647a3b0-55fe-4b96-91ae-21e8d74350ef
                © 2005
                History

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