Representational primitives using trend based global features for time series classification

作者：

Highlights：

• Identifying a set of generalized global features for time series feature learning.

• Trend based combined trendlet primitives for classifying the time series sequences.

• A pictorial model based on the indices of global features in time series sequences.

• An auxiliary representation that shows the positions of trends in time series data.

摘要

•Identifying a set of generalized global features for time series feature learning.•Trend based combined trendlet primitives for classifying the time series sequences.•A pictorial model based on the indices of global features in time series sequences.•An auxiliary representation that shows the positions of trends in time series data.

论文关键词：Time series,Combined trendlet vector,Global features,Reversal points,Sequences

论文评审过程：Received 27 March 2020, Revised 2 November 2020, Accepted 24 November 2020, Available online 26 November 2020, Version of Record 28 November 2020.

论文官网地址：https://doi.org/10.1016/j.eswa.2020.114376