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Time series anomaly detection
2022-07-26 09:56:00 【Conditional stroll】
@ Founded in :2022.07.25
@ Modified to :2022.07.25
1、 Method
(1) Business interpretation 、 Statistics (3 σ \sigma σ, boxplot )
(2) Consider it as a clustering problem (kNN,kMeans)
(3) See it as a prediction problem
Time series prediction
(4) After temporal decomposition , Statistical residual or fitting residual
(5)Isolation Forest
(6) Sliding window method ( Left and right sliding windows , Expansion sliding window ) And coefficient of variation
(7) Deep learning method
2、 Tools
3、 Value connectivity
Time series anomaly detection ( One )—— Algorithm overview
Time series anomaly detection ( Two )—— be based on KDD99 The actual combat of data sets
Time series anomaly detection ( 3、 ... and )—— Alarm strategy and root cause location
Time series anomaly detection ( Four )—— Root cause positioning landing practice
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