SCALE-BOSS-MR: Scalable Time Series Classification Using Multiple Symbolic Representations
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DOI: 10.3390/app14020689
Abstract: Time-Series-Classification (TSC) is an important machine learning task for many branches of science. Symbolic representations of time series, especially Symbolic Fourier Approximation (SFA), have been proven very effective for this task, given their abilities to… read more here.
Keywords: series classification; scale boss; time; symbolic representations ... See more keywords