[1] |
YANG Yemin, ZHANG Huijun, ZHANG Xiaolong.
Research on Interpretable Visual Analysis Method of Random Forest
[J]. Computer Engineering and Applications, 2021, 57(6): 168-175.
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[2] |
XIONG Jian, QIN Renchao, HE Mengyi, LIU Jianlan, TANG Fengyang.
Application of Improved Random Forest Algorithm in Android Malware Detection
[J]. Computer Engineering and Applications, 2021, 57(3): 130-136.
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[3] |
WANG Le, HAN Meng, LI Xiaojuan, ZHANG Ni, CHENG Haodong.
Review of Classification Methods for Unbalanced Data Sets
[J]. Computer Engineering and Applications, 2021, 57(22): 42-52.
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[4] |
AN Lei, HAN Zhonghua, LIN Shuo, SHANG Wenli.
Research on GAN-SDAE-RF Model for Network Intrusion Detection
[J]. Computer Engineering and Applications, 2021, 57(21): 155-164.
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[5] |
WU Weijie, ZHANG Jingxiang.
Random Forest Feature Selection Algorithm Based on Categorization Information and Application
[J]. Computer Engineering and Applications, 2021, 57(17): 147-156.
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[6] |
YAN Zhengxu, QIN Chao, SONG Gang.
Random Forest Model Stock Price Prediction Based on Pearson Feature Selection
[J]. Computer Engineering and Applications, 2021, 57(15): 286-296.
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[7] |
ZHU Di, CHEN Danwei.
Technology of Mobile Application Identification Based on Density-Based Clustering and Random Forest
[J]. Computer Engineering and Applications, 2020, 56(4): 63-68.
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[8] |
HU Qingyu, LIU Guangchen.
Application of Deep Belief Network in Recognition of Protein Coding Regions
[J]. Computer Engineering and Applications, 2020, 56(4): 247-255.
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[9] |
YI Junyan, DU Xiaopeng.
Elastic Network Algorithm with Center Movement for Clustering
[J]. Computer Engineering and Applications, 2020, 56(24): 50-58.
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[10] |
CHEN Hong, WANG Runting, XIAO Chenglong, GUO Pengfei, HUANG Jie, CHEN Honglin.
Research on Intrusion Detection Model Based on DBN-XGBDT
[J]. Computer Engineering and Applications, 2020, 56(22): 83-91.
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[11] |
LI Ling, GU Xiaomei, LIU Zihao.
Application Research of Multi-subdomain Random Forest in Context-Aware Recommendation
[J]. Computer Engineering and Applications, 2020, 56(22): 132-141.
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[12] |
LI Jieqi, HU Liangbing.
Review of Machine Learning for Predictive Maintenance
[J]. Computer Engineering and Applications, 2020, 56(21): 11-19.
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[13] |
CHENG Zhenjing, CHENG Yaodong, CHEN Gang, WANG Lu, LI Haibo, HU Qingbao.
High Energy Physics Data Placement Strategy Based on Random Forest
[J]. Computer Engineering and Applications, 2020, 56(21): 60-64.
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[14] |
WU Shili, TANG Zhenmin, LIU Yong.
Fatigue Driving Recognition Algorithm Using Random Forest with Multi-feature Fusion
[J]. Computer Engineering and Applications, 2020, 56(20): 212-219.
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[15] |
GOU Jijun, LI Junhua, CHEN Chen, CHEN Yiming, LV Yida.
Network Intrusion Detection Method Based on Random Forest
[J]. Computer Engineering and Applications, 2020, 56(2): 82-88.
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