文章基本信息

标题：Perturbation Approach for Protecting Data Server used for Decision Tree Mining
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作者：T. Nirosh Kumar ; G. Jaya Raju
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2012
卷号：3
期号：4
页码：758-761
语种：English
出版社：Ayushmaan Technologies
摘要：Data Mining is the step by step process for extracting interesting rules from large amount of data. The data can be stored at database server, file, data warehouse, and the data servers must be protected from an authenticated person access. Decision tree mining is one of the classification algorithms that construct rules from centralized data set. This paper gives description for how to protect data in the server used for decision tree mining and description of perturbation privacy preserving algorithm. It constructs two data sets unrealized equivalent original data set. Here the main idea is the decision tree derived from original data set same as the decision tree derived from unrealized data set. The experiment results shows that approach out performs the other techniques.
关键词：Data Mining;Decision Tree Mining;Privacy