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Dynamic time warping (DTW) is a powerful technique in the time-series similarity search. However, its performance on large-scale data is unsatisfactory because of its high computational cost and the fact that it cannot be indexed directly. The lower bound technique for DTW is an effective solution to this problem. In this paper, we explain the existing lower-bound functions from a unified perspective...
The technique of searching for similar patterns among time series data is very important in a wide range of applications. Among them, the time scaling searching is a hard problem that only a few works have tackled. By combining the advantages of a natural time scaling transformation and the dynamic time warping method, we propose a similarity measure that is more suitable for time scaling searching...
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