Time Series Classification by Shapelet Dictionary Learning with SVM‐Based Ensemble Classifier

Time series classification is a basic and important approach for time series data mining. Nowadays, more researchers pay attention to the shape similarity method including Shapelet‐based algorithms because it can extract discriminative subsequences from time series. However, most Shapelet‐based algorithms discover Shapelets by searching candidate subsequences in training datasets, which brings two drawbacks: high computational burden and poor …