UNSUPERVISED LOG DATA ANOMALY DETECTION

摘要

Detecting log data anomalies by pre-processing log data entries, identifying sequences of the log data entries, generating at least one key performance indicator (KPI) for the log data entries according to the sequences, training at least one machine learning (ML) model according to the KPI, and identifying a log data entry anomaly according to the machine learning model.