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Exact Discovery of Time Series Motifs
[chapter]
2009
Proceedings of the 2009 SIAM International Conference on Data Mining
Time series motifs are pairs of individual time series, or subsequences of a longer time series, which are very similar to each other. As with their discrete analogues in computational biology, this similarity hints at structure which has been conserved for some reason and may therefore be of interest. Since the formalism of time series motifs in 2002, dozens of researchers have used them for diverse applications in many different domains. Because the obvious algorithm for computing motifs is
doi:10.1137/1.9781611972795.41
pmid:31656693
pmcid:PMC6814436
dblp:conf/sdm/MueenKZCW09
fatcat:vif6qlq2m5c6bebz7mm5xssxhm