Time Series Streams
3 papers with code • 0 benchmarks • 0 datasets
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In this work, we demonstrate how one can leverage the correlation across several related time series streams to both drastically improve the compression efficiency and reduce the accuracy loss. We present a novel compression algorithm for time series streams called CORAD (CORelation-Aware compression of time series streams based on sparse Dictionary coding).
In this paper, we introduce a new online recovery technique to recover multiple time series streams in linear time.