Finding patterns/motifs in time series data
From ISLAB/CAISR
| Title | Finding patterns/motifs in time series data |
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| Summary | Finding patterns/motifs in time series data, for autonomous clustering or outlier detection |
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| 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).
