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Synthetic Minority Oversampling Technique for Optimizing Classification Tasks in Botnet and Intrusion-Detection-System Datasets

机译：用于优化僵尸网络和入侵检测系统数据集的分类任务的合成少数群体过采样技术

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David Gonzalez-Cuautle; Aldo Hernandez-Suarez; Gabriel Sanchez-Perez; Linda Karina Toscano-Medina; Jose Portillo-Portillo; Jesus Olivares-Mercado; Hector Manuel Perez-Meana; Ana Lucila Sandoval-Orozco;
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2. Fuzzy–synthetic minority oversampling technique: Oversampling based on fuzzy set theory for Android malware detection in imbalanced datasets [J] . Yanping Xu, Chunhua Wu, Kangfeng Zheng, International Journal of Distributed Sensor Networks . 2017,第4期

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3. CarSite-II: an integrated classification algorithm for identifying carbonylated sites based on K-means similarity-based undersampling and synthetic minority oversampling techniques [J] . Yun Zuo, Jianyuan Lin, Xiangxiang Zeng, BMC Bioinformatics . 2021,第1期

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4. Optimization of Phishing Website Classification Based on Synthetic Minority Oversampling Technique and Feature Selection [C] . Rizal Dwi Prayogo, Siti Amatullah Karimah International Workshop on Big Data and Information Security . 2020

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5. Performance bounds, optimization and estimation techniques for synthetic aperture radar. [D] . Linnehan, Robert James. 2008

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6. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification [O] . Jinyan Li, Simon Fong, Yunsick Sung, 2016

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7. Adaptive swarm cluster-based dynamic multi-objective synthetic minority oversampling technique algorithm for tackling binary imbalanced datasets in biomedical data classification [O] . 2016

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8. Salient Feature Identification and Analysis using Kernel-Based Classification Techniques for Synthetic Aperture Radar Automatic Target Recognition. [R] . M. S. Flynn 2014

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Synthetic Minority Oversampling Technique for Optimizing Classification Tasks in Botnet and Intrusion-Detection-System Datasets

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