A novel shapelet transformation method for classification of multivariate time series with dynamic discriminative subsequence and application in anode current signals

2020 ◽  
Vol 27 (1) ◽  
pp. 114-131 ◽  
Author(s):  
Xiao-xue Wan ◽  
Xiao-fang Chen ◽  
Wei-hua Gui ◽  
Wei-chao Yue ◽  
Yong-fang Xie
Keyword(s):  
Time Series ◽  
Multivariate Time Series ◽  
Transformation Method ◽  
Anode Current

scholarly journals Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

2020 ◽  
pp. 1-11 ◽  
Author(s):  
Filippo Maria Bianchi ◽  
Simone Scardapane ◽  
Sigurd Lokse ◽  
Robert Jenssen
Keyword(s):  
Time Series ◽  
Multivariate Time Series ◽  
Reservoir Computing

scholarly journals Causality Distance Measures for Multivariate Time Series with Applications

Mathematics ◽  
2021 ◽  
Vol 9 (21) ◽  
pp. 2708
Author(s):  
Achilleas Anastasiou ◽  
Peter Hatzopoulos ◽  
Alex Karagrigoriou ◽  
George Mavridoglou
Keyword(s):  
Time Series ◽  
Time Series Data ◽  
Distance Measure ◽  
Multivariate Time Series ◽  
Health Resources ◽  
Unsupervised Classification ◽  
Distance Measures ◽  
Series Data ◽  
Multivariate Statistical

In this work, we focus on the development of new distance measure algorithms, namely, the Causality Within Groups (CAWG), the Generalized Causality Within Groups (GCAWG) and the Causality Between Groups (CABG), all of which are based on the well-known Granger causality. The proposed distances together with the associated algorithms are suitable for multivariate statistical data analysis including unsupervised classification (clustering) purposes for the analysis of multivariate time series data with emphasis on financial and economic data where causal relationships are frequently present. For exploring the appropriateness of the proposed methodology, we implement, for illustrative purposes, the proposed algorithms to hierarchical clustering for the classification of 19 EU countries based on seven variables related to health resources in healthcare systems.

Drunk driving detection based on classification of multivariate time series

2015 ◽  
Vol 54 ◽  
pp. 61.e29-64 ◽  
Author(s):  
Zhenlong Li ◽  
Xue Jin ◽  
Xiaohua Zhao
Keyword(s):  
Time Series ◽  
Multivariate Time Series ◽  
Drunk Driving
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