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一种基于粒计算的知识隐藏方法
引用本文:邱桃荣,王璐,熊树洁,白小明.一种基于粒计算的知识隐藏方法[J].山东大学学报(理学版),2010,45(7):60-64.
作者姓名:邱桃荣  王璐  熊树洁  白小明
作者单位:南昌大学计算机系,江西,南昌,330031
基金项目:江西省重点攻关项目,江西省教育厅科技资助项目 
摘    要:对数据中蕴涵的敏感知识的隐藏与保护是私有保护数据挖掘中重要一个研究课题。粒计算具有在不同的粒度层次上进行问题求解的能力。本文讨论了基于粗糙集粒计算模型的数据中知识隐藏与保护方法。首先,介绍了不完备信息系统下的相容关系、相容信息粒和信息粒度;其次,提出基于粒计算的知识隐藏与保护方法;最后,通过具体实例和在真实数据集上的测试表明了所提出方法的可行性。

关 键 词:知识隐藏  隐私保护  粒计算  相容信息粒
收稿时间:2010-04-02

A granular computing approach for knowledge hiding
QIU Tao-rong,WANG Lu,XIONG Shu-jie,BAI Xiao-ming.A granular computing approach for knowledge hiding[J].Journal of Shandong University,2010,45(7):60-64.
Authors:QIU Tao-rong  WANG Lu  XIONG Shu-jie  BAI Xiao-ming
Affiliation:Department of Computer, Nanchang University, Nanchang 330031, Jiangxi, China
Abstract: The protection of sensitive knowledge contained in the data is a key research issue in privacy preserving data mining. Granular computing has a powerful ability in using different levels of granulations during problem solving. By using granular computing model derived by rough set, a method for the knowledge hiding in the data was discussed. First, some concepts such as tolerance relations, tolerance information granules and the size of granules were introduced. Second, an approach for knowledge hiding was proposed. Final, the given example and testing in real datasets showed that the proposed method was effective.
 
Keywords:knowledge hiding  privacy protection  granular computing  tolerance information granule
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