Classification of time series by shapelet transformation
From MaRDI portal
Publication:468669
DOI10.1007/s10618-013-0322-1zbMath1298.62098OpenAlexW1984674851WikidataQ57652697 ScholiaQ57652697MaRDI QIDQ468669
James Mapp, Jon Hills, Edgaras Baranauskas, Jason Lines, Anthony J. Bagnall
Publication date: 7 November 2014
Published in: Data Mining and Knowledge Discovery (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/s10618-013-0322-1
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
Sequence graph transform (SGT): a feature embedding function for sequence data mining ⋮ The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances ⋮ Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification ⋮ Learning multivariate shapelets with multi-layer neural networks for interpretable time-series classification ⋮ Time series classification with echo memory networks ⋮ Echo state network with a global reversible autoencoder for time series classification ⋮ Nonlinear neural-like P model for time series classification ⋮ Numeric Lyndon-based feature embedding of sequencing reads for machine learning approaches ⋮ ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels ⋮ Time series classification with ensembles of elastic distance measures ⋮ Theory and Algorithms for Shapelet-Based Multiple-Instance Learning ⋮ A review on distance based time series classification ⋮ FastEE: fast ensembles of elastic distances for time series classification ⋮ Classification of time series by shapelet transformation ⋮ Time series representation and similarity based on local autopatterns ⋮ Generalized random shapelet forests ⋮ TS-CHIEF: a scalable and accurate forest algorithm for time series classification ⋮ Deep learning for time series classification: a review ⋮ HIVE-COTE 2.0: a new meta ensemble for time series classification
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Time series shapelets: a novel technique that allows accurate, interpretable and fast classification
- Classification of time series by shapelet transformation
- A time series forest for classification and feature extraction
- Bayesian network classifiers
- Clustering time series with clipped data
- Support-vector networks
- A Nonparametric test for the Several Sample Problem
- Quicksort
- Random forests