Academic Journal of Computing & Information Science, 2023, 6(8); doi: 10.25236/AJCIS.2023.060805.
Linhai Tan
School of Artificial Intelligence, Hunan Vocational College of Science & Technology, Changsha, China
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.
privacy protection, integrated data, Distributed, association rule mining, SVM classification mining
Linhai Tan. Algorithms Feasibility Inquiry Based on Data Mining in Privacy. Academic Journal of Computing & Information Science (2023), Vol. 6, Issue 8: 46-51. https://doi.org/10.25236/AJCIS.2023.060805.
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