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  • 标题:Building Privacy-Preserving C4.5 Decision Tree Classifier on Multi-Parties
  • 本地全文:下载
  • 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.
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