%0 Journal Article
%T Research on privacy preserving in mining sequential pattern<br>序列模式挖掘中的隐私保护方法研究*
%A ZHU Yu-quan
%A HU Tian-han
%A CHEN Geng
%A CHANG Peng
%A <br>朱玉全
%A 胡天寒
%A 陈耿
%A 常鹏
%J 计算机应用研究
%D 2009
%I 
%X At present, the research on the privacy preserving of the sequential pattern mining is very small. For this problem, this paper presented an effective algorithm to hide sensitive sequences which named CLSDA(current least sequences delete algorithm). This algorithm set weights to the candidate, in the process updates the weights at any moment, and used greedy algorithm to gain the local best solution, to do least changes with the original database. The experiment shows that the algorithm is more effective than SDRF algorithm.
%K data mining
%K privacy preserving
%K sequential pattern
%K sensitive sequence<br>数据挖掘
%K 隐私保护
%K 序列模式
%K 敏感序列
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=A9D9BE08CDC44144BE8B5685705D3AED&aid=891001F453978414B0F412AB08222176&yid=DE12191FBD62783C&vid=96C778EE049EE47D&iid=DF92D298D3FF1E6E&sid=B6521CEA65B8A16F&eid=90359DF7B60CBA0D&journal_id=1001-3695&journal_name=计算机应用研究&referenced_num=0&reference_num=8