...对数据分布没有要求的一些方法如支持向量数据描述(support vector data description, SVDD)、局部离群因子(local outlier factor, LOF)被成功应用于过程监测。
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time-neighbourhood local outlier factor 时间邻域的局部异常因子
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以上来源于: WordNet
It uses local outlier mining method to count the Local Outlier Factor(LOF) of the outlier candidated object and detects anomaly attacks.
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。
The LOF (local outlier factor) algorithm is a very distinguished local outlier detecting method, which assigns each object an outlier-degree value.
LOF算法是一个著名的局部离群点查找方法，该方法赋予了表征每一个空间点偏离程度的数值。
The algorithm can indicate the degree of outlier with the local deviate factor, so the outlier can be identified exactly and the precision is measurable.
同时用局部偏离指数指示离群点的偏离程度，又具有识别精度高和偏离程度可度量的优点。
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