隐私保持的决策树分类挖掘  

Privacy Preserving Data Mining on Decision Tree

作　　者：李光[1] 王亚东[1] 苏小红[1] 

机构地区：[1]哈尔滨工业大学计算机科学与技术学院,黑龙江哈尔滨150001

出　　处：《电子学报》2010年第1期204-212,共9页Acta Electronica Sinica

基　　金：国家863高技术研究发展计划(No.2007AA02Z329;No.2007AA02Z302)

摘　　要：隐私保持的数据挖掘是目前数据挖掘领域的重要研究方向之一,其首要研究内容是开发在不泄露隐私数据的前提下进行数据挖掘的方法.决策树是分类挖掘的一种重要方法,也是目前隐私保持的数据挖掘领域中少有的被深入研究了的分类方法.针对目前尚未对隐私保持的决策树挖掘方法进行系统总结的问题,本文对该领域进行综述.首先对问题背景进行介绍,随后介绍了该领域的研究现状,对现有方法进行了分类和总结,最后总结出该领域进一步研究的方向.Now,the privacy preserving data mining has become an important research problem.The chief research purpose of it is to find data mining methods which can work well without opening the privacy data.The decision tree is an important method for classification,and has been studied in depth for privacy preserving data mining.There was on good summarize for privacy preserving decision tree algorithm.To solve this problem,this paper gave a survey on the current privacy preserving decision tree data mining techniques.It first introduced the background of privacy preserving decision tree data mining;then introduced the studying status of this subject and gave a summarize;finally,it pointed out some future research directions.

关 键 词：数据挖掘 隐私保持 决策树 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]