Perfomalist is a #ChangeDetection system based on Exception Value (EV) data analysis

2022 update:

Now the same method is used for free online tool - Perfomalist https://www.perfomalist.com/

More detailed has been added to the method and published here "

CPD - Change Point Detection is planed to be implemented in the free web tool Perfomalist

 

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The right term for SETDS methodology is Anomaly and Change (point) detection.

The second part of SETDS - trend detection recently implemented on R and got the "TrendieR" name - is actually a Change Point Detection tool.

See more details how it works in the previous post:

AnomalyDetection vs. NoveltyDetection. SETDS Method Detects and Separates both

But in short the change points are the the following equation roots (solutions)

                  EV(t)=0

Where t is time and EV is Exception Value (magnitude of exception calculated as the difference between actual data and baseline statistical limits UCL and LCL). 

In the "Exception Based Modeling and Forecasting"

CMG.org paper there was the attempt to describe that calculation more formally by the following formulas: