CORAD: Correlation-Aware Compression of Massive Time Series using Sparse Dictionary Coding

1 code implementation • Big Data 2019 • Abdelouahab Khelifati, Mourad Khayati, Philippe Cudré-Mauroux

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).

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