Computer Science ›› 2006, Vol. 33 ›› Issue (1): 232-235.
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Abstract: In this paper, it is studied that segment-based multiple time series association rules analysis, and an approach is presented. The approach is that, firstly finding the frequent segment pattern in the time series by means of clustering, then using the fou
Key words: Time series, Association rules, Clustering, Dynamic time warping
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