Comprehensive Evaluation of Log Representation Techniques for Automated Log Anomaly Detection

This work comprehensively evaluates the effectiveness of different log representation techniques, including classical and semantic-based approaches, in the context of automated log-based anomaly detection. The findings provide guidance for researchers and practitioners to select suitable log representation techniques for their log analysis workflows.