Abstract: The use of data is essential for the supply of business, scientific and other processes. Often the consumption of these data is hampered when there are sample losses. Aiming to recover ...
Abstract: We present a novel framework for analyzing univariate time series data. At the heart of the approach is a versatile algorithm for measuring the similarity of two segments of time series ...
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