Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding Higher-Level Structure in Time Series-Reference-Cited by-同舟云学术

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Matrix Profile XIX: Time Series Semantic Motifs: A New Primitive for Finding Higher-Level Structure in Time Series

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE International Conference on Data Mining (ICDM)
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Author:

Imani Shima,Keogh Eamonn

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8961330/8970627/08970833.pdf?arnumber=8970833

Cited by 10 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. PaSTiLa: Scalable Parallel Algorithm for Unsupervised Labeling of Long Time Series;Lobachevskii Journal of Mathematics;2024-03

2. A Symbolic Representation of Two-Dimensional Time Series for Arbitrary Length DTW Motif;2023 IEEE International Conference on Data Mining (ICDM);2023-12-01

3. Parameter-free Spikelet: Discovering Different Length and Warped Time Series Motifs using an Adaptive Time Series Representation;Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining;2023-08-04

4. Time Series Data Mining: A Unifying View;Proceedings of the VLDB Endowment;2023-08

5. High-Performance Time Series Anomaly Discovery on Graphics Processors;Mathematics;2023-07-20

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