Dynamic outlier detection algorithm for network large data set based on classification and regression trees decision tree
|更新时间:2025-05-26
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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)
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.
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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Related Author
FAN Wen-bo
MA Kun
WANG Zhe
Related Institution
Department of Student Affairs, Jilin University
Big Data and Network Management Center, Jilin University