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Searching and mining trillions of time series subsequences under dynamic time warping

机译：在动态时间扭曲下搜索和挖掘数万亿个时间序列子序列

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Thanawin Rakthanmanon; Bilson Campana; Abdullah Mueen; Gustavo Batista; Brandon Westover;
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年度 2012
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1. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping [J] . Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, SIGKDD explorations . 2012,第CDaROM期

机译：动态时间规整下时间序列子序列的搜索与挖掘
2. Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping [J] . THANAWIN RAKTHANMANON, BILSON CAMPANA, ABDULLAH MUEEN, ACM transactions on knowledge discovery from data . 2013,第3期

机译：解决大数据时间序列：动态时间规整下挖掘数千个时间序列子序列
3. Subsequence matching under time warping in time-series databases: observation, optimization, and performance results [J] . Sang-Wook Kim, Miyoung Shin International Journal of Computer Systems Science & Engineering . 2008,第1期

机译：时间序列数据库中时间扭曲下的子序列匹配：观察，优化和性能结果
4. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping [C] . Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, ACM SIGKDD international conference on knowledge discovery and dataMining . 2012

机译：动态时间规整下时间序列子序列的搜索与挖掘
5. Improving efficiency and effectiveness of dynamic time warping in large time series databases. [D] . Ratanamahatana, Chotirat. 2005

机译：提高大型时间序列数据库中动态时间规整的效率和有效性。
6. Searching and Mining Trillions of Time Series Subsequences under Dynamic Time Warping [O] . Thanawin Rakthanmanon, Bilson Campana, Abdullah Mueen, -1

机译：动态时间翘曲下的时间序列子序列课程
7. A Novel Approximation to Dynamic Time Warping allows Anytime Clustering of Massive Time Series Datasets [O] . Qiang Zhu, Gustavo Batista, Thanawin Rakthanmanon, 2012

机译：动态时间扭曲的新近似允许大规模时间序列数据集的任何时间聚类
8. Fast and Flexible Multivariate Time Series Subsequence Search [R] . 2010

机译：快速灵活的多变量时间序列子序列搜索

Searching and mining trillions of time series subsequences under dynamic time warping

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