开课单位--新墨西哥大学；加州大学河滨分校
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Time Series data Mining Using the Matrix Profile: A Unifying View of Motif Discovery, Anomaly Detection, Segmentation, Classification, Clustering and Similarity Joins[基于矩阵轮廓的时间序列数据挖掘：Motif发现、异常检测、分割、分类、聚类和相似性连接的统一视角]
  Abdullah Al Mueen;Eamonn Keogh(新墨西哥大学；加州大学河滨分校) The Matrix Profile (and the algorithms to compute it: STAMP, STAMPI, STOMP, SCRIMP and GPU-STOMP), has the potential to revolutionize time series data...
热度：35
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