| 隐私保护关联规则挖掘的一种改进方法 |
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| 引用本文： | 朱思征,陈世平.隐私保护关联规则挖掘的一种改进方法[J].上海理工大学学报,2009,31(1). |
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| 作者姓名： | 朱思征 陈世平 |
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| 作者单位： | 1. 上海理工大学光电信息与计算机工程学院,上海,200093
2. 上海理工大学网络管理中心,上海,200093 |
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| 基金项目： | 上海市教委科技发展基金，上海市教委重点学科资助项目 |
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| 摘 要： | VSS-MASK算法使用数据随机化方法对原始数据进行数据变换,采用纵向结构组织数据与只提交变换后为'1'的数据组成的数据表的方法,克服了原MASK算法中横向组织数据造成的数据稀疏性强、通用性差的缺点,并通过试验证明了VSS-MASK算法效率的提升.
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| 关 键 词： | 数据挖掘 隐私保护 关联规则 |
Improved method of privacy-preserving association rule mining |
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| ZHU Si-zheng,CHEN Shi-ping.Improved method of privacy-preserving association rule mining[J].Journal of University of Shanghai For Science and Technology,2009,31(1). |
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| Authors: | ZHU Si-zheng CHEN Shi-ping |
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| Affiliation: | 1.School of Optical-Electrical and Computer Engineering;University of Shanghai for Science and Technology;Shanghai 200093;China;2.Center of Network;China |
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| Abstract: | In VSS-MASK algorithm,the data randomization method was used to transform original data,and the vertical stored structure was adopted to avoid the defects of conventional MASK algorithm,such as the large sparsity due to the existence of massive 0 values,bad versatility and low efficiency.The algorithm uses the data organized like real data stored in the relation database,and resolves the problem of how to get the support of itemsets which contain the '0' values.So,VSS-MASK algorithm can get the real frequen... |
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| Keywords: | data mining privacy-preserving association rule |
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