We propose a general symbolic representation for 2D time series, enabling the discovery of arbitrary-length motifs with warping and lags.
The symbolic time series depends essentially on the segmentation of the initial series. An operator of segmentation using thresholds generates a structure of ...
We call our symbolic representation of time series SAX (Symbolic Aggregate approXimation), and define it in the next section. SAX allows a time series of ...
Aug 24, 2024 · In this work, we propose a novel approach that allows us to find motifs under both length differences and warping.
Aug 4, 2023 · We propose a novel method to discover "warped" motifs whose lengths may differ. Moreover, our method allows input parameters that are not fixed lengths.
A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif ... This work proposes a general symbolic representation for 2D time ...
May 13, 2024 · We review symbolic representations of time se- ries (that transform a real-valued series into a shorter discrete-valued series), as well as dis-.
A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif. Counterfactual Explanations for Time Series Forecasting. CIKM 2023. ST ...
Apr 17, 2020 · 1) Be able to compare time-series segments. 2) Receive all types of motifs, meaning fixed-length and variable-length motifs. 3) Represent multi- ...
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In recent years Dynamic Time Warping (DTW) has emerged as the distance measure of choice for virtually all time series data mining applications.