Slopewise Aggregate Approximation SAX: keeping the trend of a time series

Lamprini Pappa,Petros Karvelis,George Georgoulas,Chrysostomos Stylios

2021 IEEE Symposium Series on Computational Intelligence (SSCI)（2021）

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摘要

In this work, we introduce the Slopewise Aggregate Approximation (SAA), an innovative variation of the Piecewise Aggregate Approximation. The Slopewise Aggregate Approximation (SAA) is used as a novel core step for the Symbolic Aggregate Approximation method. SAA efficiently describes the trend at a time series signal since it incorporates information regarding the shape and fluctuation of the tim...

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关键词

Dimensionality reduction,Sensitivity,Fluctuations,Shape,Aggregates,Time series analysis,Activity recognition

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