机译:保留隐私的社交网络数据发布的部分k-匿名性
School of Computer Science and Engineering, Beihang University Haidian, Beijing 100191, P. R. China,Guangxi Key Lab of Multi-Source Information Mining and Security Guangxi Normal University, Guilin, Guangxi 541004, P. R. China;
Institute of Technology, University of Washington Tacoma Tacoma, WA 98402, USA;
Guangxi Key Lab of Multi-Source Information Mining and Security Guangxi Normal University, Guilin, Guangxi 541004, P. R. China;
School of Computer Science and Engineering, Beihang University Haidian, Beijing 100191, P. R. China,Guangxi Key Lab of Multi-Source Information Mining and Security Guangxi Normal University, Guilin, Guangxi 541004, P. R. China;
Privacy protection; randomization; social network; anonymity;
机译:基于最大延迟匿名聚类功能树的社交网络中隐私保护数据发布
机译:隐私保护的社交媒体数据发布,用于个性化基于排名的推荐
机译:通过k-匿名性和特征选择来保护分类数据的隐私保护数据发布
机译:(α,k)-匿名性:用于保护隐私的数据发布的增强的k-匿名性模型
机译:通过数据发布和知识模型共享来保护隐私的数据挖掘。
机译:通过k-匿名性和特征选择来保护分类数据的隐私保护数据发布
机译:社交网络数据发布的隐私保护机制