Time series motifs discovery under DTW allows more robust discovery of conserved structure

DOI10.1007/s10618-021-00740-0zbMath1478.62245OpenAlexW3131450786MaRDI QIDQ2036738

Sara Alaee, Ryan Mercer, Kaveh Kamgar, Eamonn J. Keogh

Publication date: 30 June 2021

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-021-00740-0

zbMATH Keywords

time seriesmotifsdynamic time warping (DTW)

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Image analysis in multivariate analysis (62H35) Statistics on metric spaces (62R20)

Related Items (2)

Introducing the contrast profile: a novel time series primitive that allows real world classification ⋮ A new symbolic representation method for time series

Uses Software

• UCI-ml
• UCR Suite
• SCRIMP++

Cites Work

• Discovery of time-series motif from multi-dimensional data based on MDL principle
• Dynamic programming algorithm optimization for spoken word recognition

This page was built for publication: Time series motifs discovery under DTW allows more robust discovery of conserved structure