文章基本信息

标题：Building Privacy-Preserving C4.5 Decision Tree Classifier on Multi-Parties
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作者：Alka Gangrade ; Ravindra Patel
期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2009
卷号：1
期号：3
页码：199-205
出版社：Engg Journals Publications
摘要：In this paper, we address Privacy-preserving classification problem in a multi-party sense. We focus the general classification in a secured manner and introduce a Privacy-preserving decision tree classifier using C4.5 algorithm without involving third party. C4.5 algorithm is a software extension of the basic ID3 algorithm designed by Quinlan. Our protocol is considerably more efficient than any existing solutions.
关键词：Decision tree classification; C4.5 algorithm; Privacy-preserving.