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DPRF: A Differential Privacy Protection Random Forest

Providing privacy protection for classification algorithms has become a research hotspot in current data mining. In this paper, differential privacy is applied to the random forest classification algorithm, and a random forest algorithm based on differential privacy is proposed to protect the privac...

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Bibliografische gegevens
Hoofdauteurs: Jun Hou, Qianmu Li, Shunmei Meng, Zhen Ni, Yini Chen, Yaozong Liu
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: IEEE 2019-01-01
Reeks:IEEE Access
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Online toegang:https://ieeexplore.ieee.org/document/8827462/
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