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A New Similarity Measure for Time Series Data Mining Based on Longest Common Subsequence

机译：基于最长的常见子序列的时间序列数据挖掘的新相似度量

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Gholamreza Soleimany; Masoud Abessi;
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年度 2019
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1. Distance Measure for Symbolic Approximation Representation with Subsequence Direction for Time Series Data Mining [J] . Tianyu Li, Fang-Yan Dong, Kaoru Hirota Journal of Advanced Computatioanl Intelligence and Intelligent Informatics . 2013,第2a97期

机译：时间序列数据挖掘中具有子序列方向的符号近似表示的距离度量
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. Similarity measure based on piecewise linear approximation and derivative dynamic time warping for time series mining [J] . Hailin Li, Chonghui Guo, Wangren Qiu Expert Systems with Application . 2011,第12期

机译：基于分段线性逼近和导数动态时间规整的时间序列挖掘相似度度量
4. SAX-Based Representation with Longest Common Subsequence Dissimilarity Measure for Time Series Data Classification [C] . Mariem Taktak, Slim Triki, Anas Kamoun IEEE/ACS International Conference on Computer Systems and Applications . 2017

机译：时间序列数据分类的基于SAX的最长公共子序列相异度度量表示
5. Pattern-Based Data Mining on Diverse Multimedia and Time Series Data. [D] . Campana, Bilson Jake. 2012

机译：基于多媒体和时间序列数据的基于模式的数据挖掘。
6. Addressing Big Data Time Series: Mining Trillions of Time Series Subsequences Under Dynamic Time Warping [O] . THANAWIN RAKTHANMANON, BILSON CAMPANA, ABDULLAH MUEEN, -1

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
7. Similarity Measure Based on Incremental Warping Window for Time Series Data Mining [O] . Hailin Li, Cheng Wang 2019

机译：基于时间序列数据挖掘的增量翘曲窗口的相似度量

A New Similarity Measure for Time Series Data Mining Based on Longest Common Subsequence

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