203 citations · 335 across the 16 of their papers we have counts for
3 papers · 1 filter
System Log Parsing with Large Language Models: A Review
Viktor Beck, Max Landauer, Markus Wurzenberger +2
Log data provides crucial insights for tasks like monitoring, root cause analysis, and anomaly detection. Due to the vast volume of logs, automated log parsing is essential to tran…
A Critical Review of Common Log Data Sets Used for Evaluation of Sequence-based Anomaly Detection Techniques
Max Landauer, Florian Skopik, Markus Wurzenberger
Log data store event execution patterns that correspond to underlying workflows of systems or applications. While most logs are informative, log data also include artifacts that in…
Deep Learning for Anomaly Detection in Log Data: A Survey
Max Landauer, Sebastian Onder, Florian Skopik +1
Automatic log file analysis enables early detection of relevant incidents such as system failures. In particular, self-learning anomaly detection techniques capture patterns in log…