%0 Journal Article
%T Anonymity privacy preserving algorithm based on frequent itemset mining<br>基于频繁项集发现的匿名隐私保护算法*
%A XU Yong
%A DING Zhong-ming
%A SI Feng-shan
%A <br>徐勇
%A 丁忠明
%A 司凤山
%J 计算机应用研究
%D 2011
%I 
%X Taking into consider data distribution,this paper proposed ABFI.ABFI defined a function referred to weight to make which quasi attribution would be generalized.Experiments show that RTBAGL obtains a higher increase in data quality.
%K data releasing
%K privacy preserving
%K k-anonymity
%K frequent itemset<br>数据发布
%K 隐私保护
%K k-匿名
%K 频繁项集
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=1F8EB868F38CE0724850AF2921C35323&yid=9377ED8094509821&vid=D3E34374A0D77D7F&iid=F3090AE9B60B7ED1&sid=6E30506CC70F8752&eid=F7ABC93BF26ABA7D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=16