Dynamic Clustering Algorithm in Unstructured Log Data

12:10 pm - 12:30 pm

Objective: Guidance
Audience Level: Advanced
Session Type: Presentation

Log analysis has become an important area of research due to the ever increasing volume and complexity of log data generated by large scale distributed systems. In this paper, we propose a Dynamic Clustering algorithm to perform pattern mining in unstructured log data. The output of this algorithm is an aggregated view of the original data which can be used for anomaly detection or log clustering.


, Applied Scientist, Amazon