Distance- and Momentum-Based Symbolic Aggregate Approximation for Highly Imbalanced Classification

Time-series representation is the most important task in time-series analysis. One of the most widely employed time-series representation method is symbolic aggregate approximation (SAX), which converts the results from piecewise aggregate approximation to a symbol sequence. SAX is a simple and effe...

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Detalles Bibliográficos
Autores principales: Yang, Dong-Hyuk, Kang, Yong-Shin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315809/
https://www.ncbi.nlm.nih.gov/pubmed/35890775
http://dx.doi.org/10.3390/s22145095

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9315809/
https://www.ncbi.nlm.nih.gov/pubmed/35890775
http://dx.doi.org/10.3390/s22145095

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