Iterative multiscale dynamic time warping (IMs-DTW): a tool for rainfall time series comparison
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چکیده
منابع مشابه
Iterative Deepening Dynamic Time Warping for Time Series
Time series are a ubiquitous form of data occurring in virtually every scientific discipline and business application. There has been much recent work on adapting data mining algorithms to time series databases. For example, Das et al. attempt to show how association rules can be learned from time series [7]. Debregeas and Hebrail [8] demonstrate a technique for scaling up time series clusterin...
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ژورنال
عنوان ژورنال: International Journal of Data Science and Analytics
سال: 2019
ISSN: 2364-415X,2364-4168
DOI: 10.1007/s41060-019-00193-1