HIGHLIGHTS
- who: David Rushing Dewhurst from the Complex Systems Center, University Burlington, United have published the article: The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series, in the Journal: (JOURNAL)
- what: After distinguishing the algorithms from other methods used in anomaly detection and similarity search such as matrix profile seasonal-hybrid ESD and discrete wavelet transform-based procedures the authors demonstrate DST's ability to identify mechanism-driven dynamics at wide range of timescales and its relative insensitivity to functional parameterization. The authors demonstrate a potential usage . . .
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