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Dynamic outlier detection algorithm for network large data set based on classification and regression trees decision tree
更新时间:2025-05-26
    • Dynamic outlier detection algorithm for network large data set based on classification and regression trees decision tree

    • In the field of big data, researchers have proposed a dynamic outlier detection algorithm based on CART decision tree, which effectively improves detection efficiency and accuracy, providing positive assistance for the reliable application of big datasets.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 53, Issue 9, Pages: 2620-2625(2023)
    • 作者机构:

      1.东北农业大学 理学院, 哈尔滨 150030

      2.东北农业大学 工程学院, 哈尔滨 150030

    • DOI:10.13229/j.cnki.jdxbgxb.20220434    

      CLC: TP393
    • Received:18 April 2022

      Published:01 September 2023

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  • FU Li-fang,CHEN Zhuo,AO Chang-lin.Dynamic outlier detection algorithm for network large data set based on classification and regression trees decision tree[J].Journal of Jilin University(Engineering and Technology Edition),2023,53(09):2620-2625. DOI: 10.13229/j.cnki.jdxbgxb.20220434.

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