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	Provedor de dados ArchiMer (1) Autor Bigand, Andre (1) Lefebvre, Alain (1) Phan, Thi-thu-hong (1) Poisson Caillault, Emilie (1) Palavra-chave Dynamic Time Warping (1) Imputation (1) Missing data (1) Similarity measures (1) Uncorrelated multivariate time series (1) Tipo do documento Text (1) Ano 2017 (1) País France (1) Idioma Inglês (1)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 1 Primeira ... 1 ... Última DTW-Approach for uncorrelated multivariate time series imputation ArchiMer Phan, Thi-thu-hong; Poisson Caillault, Emilie; Bigand, Andre; Lefebvre, Alain. Missing data are inevitable in almost domains of applied sciences. Data analysis with missing values can lead to a loss of efficiency and unreliable results, especially for large missing sub-sequence(s). Some well-known methods for multivariate time series imputation require high correlations between series or their features. In this paper, we propose an approach based on the shape-behaviour relation in low/un-correlated multivariate time series under an assumption of recurrent data. This method involves two main steps. Firstly, we find the most similar sub-sequence to the sub-sequence before (resp.after) a gap based on the shape-features extraction and Dynamic Time Warping algorithms. Secondly, we fill in the gap by the next (resp.previous) sub-sequence... Tipo: Text Palavras-chave: Imputation; Uncorrelated multivariate time series; Missing data; Dynamic Time Warping; Similarity measures. Ano: 2017 URL: https://archimer.ifremer.fr/doc/00429/54082/55378.pdf Registros recuperados: 1 Primeira ... 1 ... Última

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