Time series classification based on complex network

作者：

Highlights：

• The complex network improves the accuracy of classification results.

• The features of complex network reflect the dynamic information.

• This method can select the features to better reflect the complex network structure.

• The weighted features can improve the classification effect.

摘要

•The complex network improves the accuracy of classification results.•The features of complex network reflect the dynamic information.•This method can select the features to better reflect the complex network structure.•The weighted features can improve the classification effect.

论文关键词：Time series classification,Complex network,Random forest,Data mining

论文评审过程：Received 5 September 2021, Revised 13 December 2021, Accepted 1 January 2022, Available online 18 January 2022, Version of Record 25 January 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.116502