Advancing Multivariate Time Series Similarity Assessment: An Integrated Computational Approach

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...

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Bibliographic Details
Main Authors: Franck B. N. Tonle, Henri E. Z. Tonnang, Milliam M. Z. Ndadji, Maurice Tchoupe Tchendji, Armand Nzeukou, Kennedy Senagi, Saliou Niassy
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Computational approach
data mining
multiprocessing
multivariate time series
similarity assessment
Online Access:https://ieeexplore.ieee.org/document/11071280/
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https://ieeexplore.ieee.org/document/11071280/

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