Analyse des séries temporelles et prévision

This cluster of papers focuses on the clustering, classification, and analysis of time series data. It covers various algorithms and techniques such as dynamic time warping, feature extraction, deep learning, symbolic representation, multivariate classification, similarity measures, dimensionality reduction, and pattern discovery.