期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：7
DOI：10.15680/ijircce.2015. 0307004
出版社：S&S Publications
摘要：Now a day’s fastest growing field data mining with privacy preserving is essential for fast developmentof high dimensional data and to manage that data efficiently while preserving privacy. In this paper, to deal withdistributed data in privacy preserving data mining technology using classification approach of Adaptive RandomDecision Tree. Privacy preserving ARDT uses ID3 and Boosting within RDT with privacy preserving framework toprovide better performance than existing system. In existing system, cryptography based technique is still too slow tobe effective for managing distributed data. Random Decision Tree with data privacy is generating equivalent andaccurate model but it also slow in computational time when distributed data grows. Privacy preserving ARDT handlesdistributed data efficiently. Privacy preserving ARDT provides better accuracy with data mining while preserving dataprivacy and reduces the computation time as compared to RDT with privacy preserving framework.
关键词：Data mining with privacy preserving; Classification; Random Decision Tree; Boosting; ID3.
