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Many high-level dimensionality reduction approaches for mining time series have been proposed, e.g., SAX, PWCA , and Feature-based. Due to the rapid performance degradation of time-series data mining in much lower dimensionality and the continuously increasing amount of time series data with uncertainty, there remains a burning need to develop new time-series representations that can retain good performance...
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