%0 Journal Article
%T Study and analysis of entropy classification algorithm for K-anonymity<br>K-匿名熵分类算法研究及分析*
%A LIU Jian
%A LIU Hui
%A <br>刘坚
%A 刘晖
%J 计算机应用研究
%D 2009
%I 
%X This paper put forth a new K-anonymity model to protect the private information, applied the method based on entropy classification to it, and validated the validity of the model through experiment. The model ensured precision of the sharing data after K-anonymity kept the consistency with the original data utmostly, meanwhile, prevented private information from disclosure effectively.
%K K-anonymity
%K entropy
%K data mining
%K privacy protection<br>K-匿名
%K 熵
%K 数据挖掘
%K 隐私保护
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=CA44C0B89C0A085F196A606D41FA0587&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=59906B3B2830C2C5&sid=069E330FF7F59B62&eid=A87EEB62E0265102&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=10