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基于隐私保护的数据挖掘研究

Research on Data Mining Based on Privacy Protection
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摘要 随着网络安全问题受到越来越多的关注,在数据挖掘中做好隐私保护已成为当前的研究热点。如何在挖掘过程中不泄露私有信息或敏感数据,同时能得到比较准确的挖掘效果,是数据挖掘研究中的一个热点课题。本文从数据分布方式结合挖掘算法对当前几种关键的隐私保护方法进行分析,并给出算法的评估,最后提出隐私保护数据挖掘方法的未来研究方向。 Along with the network security issues are paid more and more attention, how to do a good job in data mining privacy protection has become a current hotspot. How to avoid revealing private or sensitive information in the mining process, and to obtain more accurate mining effect, data mining has become a hot topic. Combining data distribution with data mining, this paper analyzes several key privacy protection method, gives the algorithm evaluation, finally proposes the data mining privacy protection research direction in the future.
作者 饶兰香
出处 《计算机与现代化》 2011年第12期109-111,共3页 Computer and Modernization
关键词 数据挖掘 隐私保护 隐私保护算法 data mining privacy protection privacy protection algorithm
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  • 1吕益林,吴子贵.网络隐私权保护模式探析[J].情报杂志,2004,23(7):41-42. 被引量:36
  • 2毛国君.数据挖掘的概念、系统结构和方法[J].计算机工程与设计,2002,23(8):13-17. 被引量:28
  • 3张特来,刘万军.数据挖掘在供应管理中的应用[J].微计算机信息,2005,21(10X):182-183. 被引量:11
  • 4[1]Paulk M C.Capability Maturity Model Version1.1[J].IEEE Software,1993,10(4):104.
  • 5[2]Heemstra F.Software Cost Estimation[J].Information and Software Technology,1992,(10):627-639.
  • 6[3]Chulani S,Boehm B.Bayesian Analysis of Empirical Software Engineering Cost Models[J].IEEE Transaction on Software Engineering,1991,25(4):254.
  • 7[4]Zhang C Q,Zhang S C.Association Rule Mining Models and Algorithms[M].Springer-Verlag,Berlin Heidelberg,2002.
  • 8[5]Zhang S C,Zhang C Q.Discovering Causality in Large Databases[J].Applied Artificial Intelligence,2002,(4):17-21.
  • 9[6]Feldman R,Hirsh R.Finding Associations in Collections of Text.Machine Learning and Data Mining:Methods and Applications[M].John Wiley Sons,1998:223-240.
  • 10[7]Salton G.Automatic Text Processing[M].Addison-Wesley, 1989.

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