Finding patterns/motifs in time series data
From ISLAB/CAISR
Jump to navigationJump to search
| Title | Finding patterns/motifs in time series data |
|---|---|
| Summary | Finding patterns/motifs in time series data, for autonomous clustering or outlier detection |
| Keywords | |
| TimeFrame | |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Thorsteinn Rögnvaldsson, Mohamed-Rafik Bouguelia |
| Level | Master |
| Status | Draft |
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).
