Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment

ACM Transactions on Spatial Algorithms and Systems ◽

10.1145/3397272 ◽

2020 ◽

Vol 6 (4) ◽

pp. 1-28

Author(s):

Qingzhe Li ◽

Liang Zhao ◽

Yi-Ching Lee ◽

Jessica Lin

Keyword(s):

Time Series ◽

Pattern Mining ◽

Multivariate Time Series ◽

Driving Behavior ◽

Contrast Pattern

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Temporal Pattern Mining for Multivariate Time Series Classification

Journal of Medical Imaging and Health Informatics ◽

10.1166/jmihi.2011.1019 ◽

2011 ◽

Vol 1 (2) ◽

pp. 164-169 ◽

Author(s):

Sumeet Dua ◽

Sheetal Saini ◽

Harpreet Singh

Keyword(s):

Time Series ◽

Temporal Pattern ◽

Pattern Mining ◽

Multivariate Time Series ◽

Time Series Classification ◽

Temporal Pattern Mining

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Extended vertical lists for temporal pattern mining from multivariate time series

Expert Systems ◽

10.1111/exsy.12448 ◽

2019 ◽

Vol 36 (5) ◽

Author(s):

Anton Kocheturov ◽

Petar Momcilovic ◽

Azra Bihorac ◽

Panos M. Pardalos

Keyword(s):

Time Series ◽

Temporal Pattern ◽

Pattern Mining ◽

Multivariate Time Series ◽

Temporal Pattern Mining

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CPM: A general feature dependency pattern mining framework for contrast multivariate time series

Pattern Recognition ◽

10.1016/j.patcog.2020.107711 ◽

2020 ◽

pp. 107711

Author(s):

Qingzhe Li ◽

Liang Zhao ◽

Yi-Ching Lee ◽

Avesta Sassan ◽

Jessica Lin

Keyword(s):

Time Series ◽

General Feature ◽

Pattern Mining ◽

Multivariate Time Series ◽

Feature Dependency

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Frequent pattern mining from multivariate time series data

Expert Systems with Applications ◽

10.1016/j.eswa.2021.116435 ◽

2022 ◽

pp. 116435

Author(s):

Meserret Karaca ◽

Michelle M. Alvarado ◽

Mostafa Reisi Gahrooei ◽

Azra Bihorac ◽

Panos M. Pardalos

Keyword(s):

Time Series ◽

Pattern Mining ◽

Time Series Data ◽

Multivariate Time Series ◽

Frequent Pattern Mining ◽

Frequent Pattern ◽

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Discerning cognitive stages in a working memory and decision making task from human fMRI data using multivariate time series analysis

Frontiers in Computational Neuroscience ◽

10.3389/conf.fncom.2012.55.00228 ◽

2012 ◽

Vol 6 ◽

Author(s):

Durstewitz Daniel

Keyword(s):

Decision Making ◽

Working Memory ◽

Time Series ◽

Time Series Analysis ◽

Multivariate Time Series ◽

Fmri Data ◽

Series Analysis ◽

Multivariate Time Series Analysis

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Asymptotic Distributions of Functions of the Eigenvalues of the Sample Covariance Matrix and Canonical Correlation Matrix in Multivariate Time Series

10.21236/ada170282 ◽

1986 ◽

Author(s):

M. Taniguchi ◽

P. R. Krishnaiah

Keyword(s):

Time Series ◽

Covariance Matrix ◽

Canonical Correlation ◽

Correlation Matrix ◽

Multivariate Time Series ◽

Asymptotic Distributions ◽

Sample Covariance Matrix ◽

Sample Covariance

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Modeling Multivariate Time Series in Economics: From Auto-Regressions to Recurrent Neural Networks

SSRN Electronic Journal ◽

10.2139/ssrn.3589337 ◽

2020 ◽

Author(s):

Sergiy Verstyuk

Keyword(s):

Neural Networks ◽

Time Series ◽

Recurrent Neural Networks ◽

Multivariate Time Series

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Convex Hull Convolutive Non-Negative Matrix Factorization for Uncovering Temporal Patterns in Multivariate Time-Series Data

10.21437/interspeech.2016-571 ◽

2016 ◽

Author(s):

Colin Vaz ◽

Asterios Toutios ◽

Shrikanth S. Narayanan

Keyword(s):

Time Series ◽

Convex Hull ◽

Matrix Factorization ◽

Time Series Data ◽

Multivariate Time Series ◽

Temporal Patterns ◽

Series Data ◽

Non Negative Matrix Factorization

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Multivariate time-series clustering based on component relationship networks

Expert Systems with Applications ◽

10.1016/j.eswa.2021.114649 ◽

2021 ◽

Vol 173 ◽

pp. 114649

Author(s):

Hailin Li ◽

Tian Du

Keyword(s):

Time Series ◽

Multivariate Time Series ◽

Time Series Clustering ◽

Relationship Networks

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Anomaly Detection of Periodic Multivariate Time Series under High Acquisition Frequency Scene in IoT

2020 International Conference on Data Mining Workshops (ICDMW) ◽

10.1109/icdmw51313.2020.00078 ◽

2020 ◽

Author(s):

Shuo Zhang ◽

XiaoFei Chen ◽

JiaYuan Chen ◽

Qiao Jiang ◽

Hejiao Huang

Keyword(s):

Time Series ◽

Anomaly Detection ◽

Multivariate Time Series

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