Adaptive Discovery of Time-Warped and Length-Variable Patterns in Time Series-Reference-Cited by-同舟云学术

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Adaptive Discovery of Time-Warped and Length-Variable Patterns in Time Series

Published:2024-12-20 Issue: Volume: Page:344-348
ISSN:
Container-title:2024 2nd International Conference on Artificial Intelligence and Automation Control (AIAC)
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Author:

Zhang Ke¹,Duan Jiangyong²,Yang Tiantian¹,Lv Congmin²

Affiliation:

1. University of Chinese Academy of Sciences,The Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences,Beijing,China

2. The Key Laboratory of Space Utilization, Technology and Engineering Center for Space Utilization, Chinese Academy of Sciences,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10899101/10899436/10899620.pdf?arnumber=10899620

Reference16 articles.

1. Efficient Discovery of Time Series Motifs under both Length Differences and Warping

2. Time-Series Anomaly Detection: Overview and New Trends

3. Variable-Length Subsequence Clustering in Time Series

4. The k-means Algorithm: A Comprehensive Survey and Performance Evaluation

5. Brief review of self-organizing maps

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