Advancing multivariate time series similarity assessment: an integrated computational approach
Data mining, particularly multivariate time series data analysis, is crucial in extracting insights from complex systems and supporting informed decision-making across diverse domains. However, assessing the similarity of multivariate time series data presents several challenges, including dealing w...
| Autores principales: | , , , , , , |
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| Formato: | Journal Article |
| Lenguaje: | Inglés |
| Publicado: |
Institute of Electrical and Electronics Engineers
2025
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| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/175842 |
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