Unsupervised pattern discovery defines the task of finding similar recurring subsequences in large time series without having any knowledge about the shape, length or level of detail of these patterns. Existing pattern discovery algorithms have already been successfully applied to various research areas like seismology, medicine or music. In seismology they have been used to discover repeating earthquake sequences.
Introduction
AutoUni – Schriftenreihe
Unsupervised Pattern Discovery in Automotive Time Series ; Kapitel : 1 ; 1-4
AutoUni – Schriftenreihe ; 159
2022-03-24
4 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
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