61 / 2020-03-11 16:27:12
Algorithms Feasibility inquiry based on Data Mining in Privacy
privacy protection; integrated data; distributed; association rule mining; SVM classification mining
全文被拒
林海 谭 / 湖南科技职业学院
This paper firstly summarizes the current research status of privacy protection data mining algorithms and the significance of researching privacy protection data mining; and then according to the different distribution of data objects, this paper discusses the corresponding privacy protection mining methods of integrated data and distributed data respectively, and then it analyses and studies association rule mining algorithms and SVM classification mining algorithms; And focusing on distributed database system classification data mining which is horizontal distribution, privacy protection classification algorithm based on the SVM is proposed. The mathematical model has been established, and experimented with the method of computer simulation. The results show that the algorithm has certain stability under the circumstances of distributed node increases, and the algorithm is feasible and has a practical guiding significance.
重要日期
  • 会议日期

    07月10日

    2021

    07月12日

    2021

  • 05月10日 2021

    初稿截稿日期

  • 07月06日 2021

    注册截止日期

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