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k⁃prototype clustering algorithm and privacy protection for sensitive data republishing under relative entropy
更新时间：2025-05-26

    • k⁃prototype clustering algorithm and privacy protection for sensitive data republishing under relative entropy

    • “In the field of data privacy protection, researchers have proposed a sensitive attribute data republishing privacy protection method based on k-prototype clustering algorithm and relative entropy, which effectively reduces the concealment rate, information loss, and information disclosure of private data, improves the privacy protection level of sensitive attribute data republishing, and ensures data security.”
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 55, Issue 3, Pages: 1009-1014(2025)
    • 作者机构：

      华北水利水电大学 信息工程学院，郑州 450046

    • DOI：10.13229/j.cnki.jdxbgxb.20240077    

      CLC： TP393

    • Received：22 January 2024，

      Published：01 March 2025

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  • ZHU Qi-liang,YU Xue-ting.k⁃prototype clustering algorithm and privacy protection for sensitive data republishing under relative entropy[J].Journal of Jilin University(Engineering and Technology Edition),2025,55(03):1009-1014. DOI： 10.13229/j.cnki.jdxbgxb.20240077.

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