Algorithms for Adobe Analytics Anomaly Detection

Algorithms for Adobe Analytics Anomaly Detection 使用的算法是

  • Holt Winters Multiplicative (Triple Exponential Smoothing)
  • Holt Winters Additive (Triple Exponential Smoothing)
  • Holts Trend Corrected (Double Exponential Smoothing)

这三种算法组成了季节指数平滑模型。

upper_bound Upper level of the prediction interval. Values above this level are considered anomalous.

Represents a 95% confidence that values will be below this level.

lower_bound Lower level of the prediction interval. Values below this level are considered anomalous.

Represents a 95% confidence that values will be above this level.

forecast The predicted value based on the data analysis. This value is also the middle point between the upper and lower bounds.

 

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