异常检测
异常类型:Point anomaly, Contextual anomaly, Collective anomaly
具体类型:根据取值范围、常数波动、固定斜率波动、滑动聚合加方差、一阶差分、局部异常
任务类型:有监督,无监督
模型类型:距离,分类
模型
规则、经验
remove outlier: Random sample consensus (RANSAC) is an iterative method to estimate parameters of a mathematical model from a set of observed data that contains outliers, when outliers are to be accorded no influence on the values of the estimates
3sigma
Z-score标准化,数据满足正态分布
PCA
降维
孤立森林
One-Class SVM
DBSCAN
autoencoder
GAN
reference
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