Section: New Results
Towards Visualizing Hidden Structures
Participants : Rémy Dautriche [STMicroelectronics] , Alexandre Termier, Renaud Blanch [UGA Grenoble] , Miguel Santana [STMicroelectronics] .
There is an increasing need to quickly understand the contents of log data. A wide range of patterns can be computed and provide valuable information: for example existence of repeated sequences of events or periodic behaviors. However pattern mining techniques often produce many patterns that have to be examined one by one, which is time consuming for experts. On the other hand, visualization techniques are easier to under- stand, but cannot provide the in-depth understanding provided by pattern mining approaches. Our contribution is to propose a novel visual analytics method that allows to immediately visualize hidden structures such as repeated sets/sequences and periodicity, allowing to quickly gain a deep understanding of the log .