Confidence intervals for anomalies in computer log data

摘要

Anomaly scores for respective message types in computer log data and confidence intervals for respective anomaly scores are calculated based on a number of appearances of respective message types in a plurality of models generated from a historical set of computer log data. Respective models of the plurality of models can have at least a portion of the historical set of computer log data excluded from the respective models. Respective anomaly scores and respective confidence intervals can be applied to a new set of log data to identify and troubleshoot unusual log data events.