Log event data are become increasingly prevalent in analysis scenarios. In this work, we identify several common trends of noise that appear in telemetry or machine log data. We then propose multiple methods for pre-processing this data, and how these methods may integrate into the analysis workflow to help focus the analysis. We envision that these methods could be used in an iterative fashion in a future visual analytics tool and become a valuable provenance component of such visualizations.
Sequence Pre-processing: Focusing Analysis of Log Event Data
Alper Sarikaya, Emanuel Zgraggen, Rob DeLine, Steven Drucker, and Danyel Fisher. Sequence Pre-processing: Focusing Analysis of Log Event Data. Proceedings of the IEEE VIS 2016 Workshop on Temporal & Sequential Event Analysis, 2016.