Matrix Profile XXIX: C<sup>22</sup>MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector-Reference-Cited by-同舟云学术

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Matrix Profile XXIX: C²²MP, Fusing catch 22 and the Matrix Profile to Produce an Efficient and Interpretable Anomaly Detector

Published:2023-12-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Data Mining (ICDM)
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Author:

Tafazoli Sadaf¹,Lu Yue¹,Wu Renjie¹,Srinivas Thirumalai Vinjamoor Akhil¹,Cruz Hannah Dela¹,Mercer Ryan¹,Keogh Eamonn¹

Affiliation:

1. University of California, Riverside University of Califormia, Riverside

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10415628/10415561/10415846.pdf?arnumber=10415846

Reference29 articles.

1. Assessing Feature Representations for Instance-Based Cross-Domain Anomaly Detection in Cloud Services Univariate Time Series Data

2. From Univariate to Multivariate Time Series Anomaly Detection with Non-Local Information

3. Do deep neural networks contribute to multivariate time series anomaly detection?

4. Merlion: A machine learning library for time series;Bhatnagar;arXiv preprint arXiv:2109.09265,2021

5. Unsupervised and scalable subsequence anomaly detection in large data series

Cited by 1 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. Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-Regenerative Life Support System Telemetry;Lecture Notes in Computer Science;2024

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