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发布时间：2018-12-18

第一作者：Jianmin Han

发表时间：2014-01-01

发表刊物：Knowledge-Based Systems

所属单位：数理与信息工程学院

文献类型：期刊

卷号：Vol.55

页面范围： 75-86

ISSN号：0950-7051

关键字：K-anonymity;Generalization;Microaggregation;Privacy;preservation

摘要：K-anonymity is a fine approach to protecting privacy in the release of microdata for data mining. Microaggregation and generalization are two typical methods to implement k-anonymity. But both of them have some defects on anonymizing mixed microdata. To a

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