| 隐私保护粒计算模型的研究 |
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| 引用本文： | 刘永红,申艳光.隐私保护粒计算模型的研究[J].河北农业大学学报,2010,33(5). |
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| 作者姓名： | 刘永红 申艳光 |
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| 作者单位： | 河北工程大学,信息与电气工程学院,河北邯郸,056038 |
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| 基金项目： | 国家自然科学基金:面向隐和保护的分布式数据挖掘关键问题研究，河北省教育厅科学研究计划项目"保护隐私的分类挖掘技术研究" |
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| 摘 要： | 为了满足数据挖掘隐私保护的个性化需求,结合粒计算粗糙集理论的基本思想,提出了一种基于敏感属性个性化隐私保护决策度的隐私保护粒化模型,实验分析证明,该模型可以在一定程度上提高隐私保护的精确度、合理性;增强隐私保护的强度。
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| 关 键 词： | 粒计算 粗糙集 数据挖掘 隐私保护 决策度 |
Research on granular computing model of privacy preserving |
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| LIU Yong-hong,SHEN Yan-guang.Research on granular computing model of privacy preserving[J].Journal of Agricultural University of Hebei,2010,33(5). |
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| Authors: | LIU Yong-hong SHEN Yan-guang |
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| Institution: | LIU Yong-hong,SHEN Yan-guang(College of Information , Electronic Engineering,Hebei University of Engineering,H,an 056038,China) |
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| Abstract: | In order to meet the demand of the personalized privacy preserving in data mining,we proposed a new privacy preserving granular model based on the personalized decision degree of sensitive attribution in privacy preservation.Experiment results show that this model can improve the accuracy of privacy preservation and make privacy preservation more effective. |
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| Keywords: | granular computing rough set data mining private protection decision degree |
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