Classification of multivariate time series and structured data using constructive induction

DOI10.1007/s10994-005-5826-5zbMath1469.68089OpenAlexW2041217742WikidataQ114689647 ScholiaQ114689647MaRDI QIDQ1774584

Claude Sammut, Mohammed Waleed Kadous

Publication date: 17 May 2005

Published in: Machine Learning (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10994-005-5826-5

zbMATH Keywords

time seriessubstructureconstructive inductionpropositionalisation

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) Pattern recognition, speech recognition (68T10)

Related Items (5)

Random Projection Ensemble Classification with High-Dimensional Time Series ⋮ A Modification of Solution Optimization in Support Vector Machine Simplification for Classification ⋮ Learning a symbolic representation for multivariate time series classification ⋮ Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification ⋮ Testing the equality of a large number of means of functional data

Uses Software

• UCI-ml
• C4.5

Cites Work

• Bagging predictors
• Ordinal optimization of DEDS
• Bias in information-based measures in decision tree induction
• Discrete-time multivariable adaptive control
• Dimensionality reduction for fast similarity search in large time series databases
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