Monday, January 10, 2022
High Anomaly - Unusual high data value for particular hour calculated as Actual - UCL95 (only positive values of the subtraction is populated and represents EV+ which is Exception Value/significance of the anomaly)
Low Anomaly - Unusual low data value for particular hour calculated as UCL5 - Actual (only positive values of the subtraction is populated and represents EV- which is Exception Value /significance of the anomaly)
If the value of Low or/and High Anomaly is "0" the particular hour does not have any anomalies.
The number of anomalous week hours also counted and printed at the header of the columns in "()".
Contributor: Michael Berdichevsky
Thursday, January 6, 2022
PRODUCT: www.Perfomalist.com www.CMGimpact.com LinkedIn Post ABSTRACT: The MASF/SETDS method of detecting changes and anomalies in performa...
The paper about Perfomalist #ChangeDetection API is accepted for ACM/SPEC ICPE 2022 Data Challenge Track"Change Point Detection (#ChangeDetection) for MongoDB Time Series Performance Regression" paper for ACM/SPEC ICPE 2022 Data Chall...
Link to tool: www.Perfomalist.com Control Points API POST https://api.perfomalist.com/ api/controlpoints.py 'Accept: text/plain' ...