采用局部离群挖掘方法计算离群候选对象的离群因子，检测出异常攻击。
It uses local outlier mining method to count the Local Outlier Factor(LOF) of the outlier candidated object and detects anomaly attacks.
针对空间数据集的特性，提出一种基于空间局部偏离因子(SLDF)的离群点检测算法。
According to the characteristics of spatial data sets, this paper proposes an outlier detection algorithm based on the Space Local Deviation Factor (SLDF).
针对空间数据集的特性，提出一种基于空间局部偏离因子(SLDF)的离群点检测算法。
According to the characteristics of spatial data sets, this paper proposes an outlier detection algorithm based on the Space Local Deviation Factor (SLDF).
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