%0 Journal Article
%T Privacy Preserving Association Rule Mining Method Based on Web Logs<br>基于Web日志的隐私保护关联规则挖掘方法
%A BAO Yu
%A HUANG Guo-xing
%A <br>鲍钰
%A 黄国兴
%J 计算机科学
%D 2009
%I 
%X Each visitor's shopping session of the E-Business Web site is recorded in the Web server log files.Analyzing the log files and exploring the strong regularities in the commodities of the shopping cart,can provide the recommended goods for Web users,and improve the performance of the Web service.In order to improve the privacy preservation of the original visitor's shopping information and mining result,an effective method for privacy preserving association rule mining was presented.First,a new data preproce...
%K Web logs
%K Privacy preservation
%K Association rule
%K Randomized response<br>Web日志
%K 隐私保护
%K 关联规则
%K 随机化回答
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=64A12D73428C8B8DBFB978D04DFEB3C1&aid=95CD463D6A5293AEEA7C6DFEF80FD1A4&yid=DE12191FBD62783C&vid=933658645952ED9F&iid=5D311CA918CA9A03&sid=1D67BE204FBF4800&eid=E089FDF3CDAE8561&journal_id=1002-137X&journal_name=计算机科学&referenced_num=0&reference_num=12