摘要
数据挖掘技术在发现规律和知识的同时也暴露了一些隐私信息,隐私保护因此成为数据挖掘过程中需要研究的重要问题,其目标是在不访问真实原始数据的条件下,能得到正确的数据挖掘结果。介绍聚类分析过程中的隐私保护问题,讨论了基于隐私保护的聚类分析基本思想。
Data mining technology plays the tremendous role also brings many security issues. Privacy preserving becomes a very important field of data mining research. The goal is to get a exact model and analysis result under the condition of visiting the real original data. It gives out the effective protection of information security to a great extent. This paper analyzes and introduces how to maintain privacy of clustering mining.
出处
《信息技术》
2008年第6期26-29,共4页
Information Technology
基金
江苏省自然科学基金(BK2005135)
关键词
聚类分析
隐私保护
数据挖掘
clustering analysis
privacy preserving
data mining
