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A Structured Study of Multivariate Time-Series Distance Measures
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Fast subsequence matching in time-series databases
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Scalable kNN search on vertically stored time series
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Fast time-series searching with scaling and shifting
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Rare time series motif discovery from unbounded streams
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Scalable, variable-length similarity search in data series
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The lernaean hydra of data series similarity search
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An Empirical Comparison of Distance Measures for Multivariate Time Series Clustering
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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TSB-AutoAD: Towards Automated Solutions for Time-Series Anomaly Detection
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Time-Series Clustering: A Comprehensive Study of Data Mining, Machine Learning, and Deep Learning Methods
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