On-line Elastic Similarity Measures for time series

作者：

Highlights：

• We present an adapted Elastic Similarity Measure for streaming time series.

• A forgetting mechanism gives more weight to recent samples in the stream.

• Experiments show the potential of the measure for on-line time series analysis.

摘要

•We present an adapted Elastic Similarity Measure for streaming time series.•A forgetting mechanism gives more weight to recent samples in the stream.•Experiments show the potential of the measure for on-line time series analysis.

论文关键词：Time series,Streaming data,Dynamic time warping,Elastic similarity measures

论文评审过程：Received 11 June 2018, Revised 22 October 2018, Accepted 8 December 2018, Available online 8 December 2018, Version of Record 14 December 2018.

论文官网地址：https://doi.org/10.1016/j.patcog.2018.12.007