Matrix Profile IX: Admissible Time Series Motif Discovery with Missing Data
IEEE Transactions on Knowledge and Data Engineering(2021)
摘要
The discovery of time series motifs has emerged as one of the most useful primitives in time series data mining. Researchers have shown its utility for exploratory data mining, summarization, visualization, segmentation, classification, clustering, and rule discovery. Although there has been more than a decade of extensive research, there is still no technique to allow the discovery of time series...
更多查看译文
关键词
Time series analysis,Time measurement,Data mining,Computer science,Interpolation,Approximation algorithms,Measurement uncertainty
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要