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Research on Similarity Matching for Multiple Granularities Time-Series Data

机译:多个粒度时间序列数据的相似度匹配研究

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Because of the appropriate algorithm of measuring multiple granularities time-series is few, this article advanced a similarity matching algorithm for multiple granularities time-series, which based on the ideal of time calibrator and hypothesis test. It firstly expounded the definition of multiple granularities time-series, and proposed a sample of distance;secondly, it put forward the similarity matching algorithm of multiple granularities timeseries;finally, the experimental result proved that the algorithm can effectively reflect the time-series of multiple granularities.
机译:由于用于测量多个粒度时间序列的合适算法很少,因此本文基于时间校准器的理想性和假设检验,提出了一种用于多个粒度时间序列的相似度匹配算法。首先阐述了多个粒度时间序列的定义,提出了一个距离样本;其次,提出了多个粒度时间序列的相似度匹配算法;最后,实验结果证明了该算法可以有效地反映时间序列。多种粒度。

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