The paper 'Finding the most unusual time series subsequence: algorithms and applications' has the DOI 10.5555/1201768.1201772.
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)
- https://link.springer.com/chapter/10.1007/978-3-319-67526-8_9 (link.springer.com)
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