View source for Finding patterns/motifs in time series data

{{StudentProjectTemplate
|Summary=Finding patterns/motifs in time series data, for autonomous clustering or outlier detection
|Supervisor=Thorsteinn Rögnvaldsson, Mohamed-Rafik Bouguelia,
|Author=Felix Nilsson
|Level=Master
|Status=Finished
}}
The goal of this project is to find patterns/motifs in time series data. This can be applied for the purpose of autonomous clustering (to explore the data and better understand how a system works) or for the purpose of outlier detection (e.g. to detect faults in a given system).