%A Wang Pingshui %T Research on Anonymous Privacy-Preserving Techniques Based on Clustering %0 Journal Article %D 2010 %J Data Analysis and Knowledge Discovery %R 10.11925/infotech.1003-3513.2010.11.08 %P 53-58 %V 26 %N 11 %U {https://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/abstract/article_3302.shtml} %8 2010-11-25 %X

At present,most anonymous privacy-preserving techniques suffer from high information loss and low usability that is mainly due to reliance on pre-defined generalization hierarchies or total order imposed on each attribute domain. Through defining distance and cost function, the paper provides a kind of l-diverse anonymous privacy-preserving model based on clustering algorithm. Experiment results show that the method can improve the usability of the released data while reducing the information loss.