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XGBoost-LR:一种用于网络流量异常检测的方法
网络流量异常检测中,传统方法存在检测精度低、误报率高的问题。本文提出XGBoost-LR混合模型,通过并行训练三个XGBoost基模型捕捉互补特征,再经逻辑回归(LR)进行概率优化,实现高精度检测。方法创新包括:1)数据并行分割与子模型并行训练;2)两阶段 ...
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