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Similarity Query Method for Time Series Subsequences Based on Pathologic Matching of DTW

机译：基于DTW病理匹配的时间序列子序列的相似性查询方法

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摘要

Time series of fuzzy concept with random noise and complex deformation cause the difficulty of subsequence similarity query. To solve the problems of subsequence query, a similarity query method for time series subsequences based on pathologic matching of DTW is proposed. Firstly, boundary curves are built up and down by using query sequence sample sets. Lower bounding distance based on the sequence of samples is proposed with a proof correctness to build lower bounding algorithm for filtrating subsequences to increase efficiency. Then, the invalid subsequence field is recognized and deleted for determining the valid subsequence field of matching by pathologic matching of DTW. The results of experiments prove that the proposed method can quickly and accurately find similarity subsequences.
机译：随机噪声和复杂变形的模糊概念的时间序列导致后续相似性查询的难度。为了解决后续查询的问题，提出了一种基于DTW的病理匹配的时间序列子序列的相似性查询方法。首先，使用查询序列样本集来上下构建边界曲线。提出了基于样品序列的较低限制距离，以构建较低限制的算法，以提高效率。然后，识别和删除无效子序列字段，以确定通过DTW的病理匹配匹配的有效子匹配字段。实验结果证明了所提出的方法可以快速准确地找到相似的子序列。

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