International Business Machines Corporation
ANOMALY DETECTION USING ZONAL PARAMETER CHARACTERISTICS AND NON-LINEAR SCORING

Abstract:

Anomaly detection using zonal parameter characteristics and non-linear scoring is provided. Anomalous behavior characteristics of a parameter and group of parameters are identified within time series data using an optimal artificial intelligence model of a plurality of artificial intelligence models. Anomalies are detected based on the anomalous behavior characteristics of the parameter and the group of parameters within the time series data. The anomalies are classified into a corresponding anomaly category. A root cause of the anomalies is determined based on the corresponding anomaly category. One or more action steps are performed to remediate the root cause of the anomalies.