Time series representation and similarity based on local autopatterns

DOI10.1007/s10618-015-0425-yzbMath1411.68093OpenAlexW789250018MaRDI QIDQ1741155

Mustafa Gokce Baydogan, George C. Runger

Publication date: 3 May 2019

Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10618-015-0425-y

zbMATH Keywords

time seriessimilarityautoregressionregression treepattern discovery

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

Related Items

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances, Time series classification with echo memory networks, Echo state network with a global reversible autoencoder for time series classification, TS-CHIEF: a scalable and accurate forest algorithm for time series classification

Uses Software

• R
• UCI-ml
• UCR Suite
• iSAX
• CMU Motion Capture

Cites Work

• Classification of time series by shapelet transformation
• CID: an efficient complexity-invariant distance for time series
• Learning a symbolic representation for multivariate time series classification
• Time series classification with ensembles of elastic distance measures
• Clustering of time series data -- a survey
• Extremely randomized trees
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