Granulation-based symbolic representation of time series and semi-supervised classification

DOI10.1016/J.CAMWA.2011.09.006zbMath1236.62113OpenAlexW2007299605MaRDI QIDQ2428997

Xiukun Wang, Lixia Wu, Tsauyoung Lin, Jun Meng

Publication date: 22 April 2012

Published in: Computers \& Mathematics with Applications (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.camwa.2011.09.006

zbMATH Keywords

hidden Markov modelsymbolic representation

Mathematics Subject Classification ID

Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30)

Related Items (2)

A pattern representation of stock time series based on DTW ⋮ Granulation of multivariate time series in the problem of descriptive analysis of the state and behavior of complex objects

Cites Work

• A novel approach to HMM-based speech recognition systems using particle swarm optimization
• A multi-view approach to semi-supervised document classification with incremental naive Bayes
• Temporal granulation and its application to signal analysis

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