The paper 'Finding the most unusual time series subsequence: algorithms and applications' lists its subject keywords as anomaly detection, clustering, and time series data mining.
Sources
- Finding the most unusual time series subsequence: algorithms and ... (dl.acm.org)
- https://link.springer.com/article/10.1007/s10115-006-0034-6 (link.springer.com)
- https://faculty.ucr.edu/~shlee/Publications/07%20TimeSeries(KAIS).pdf (faculty.ucr.edu)