Anomaly Detection in Catalog Streams-Reference-Cited by-同舟云学术

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Anomaly Detection in Catalog Streams

Published:2023-02-01 Issue:1 Volume:9 Page:294-311
ISSN:2332-7790
Container-title:IEEE Transactions on Big Data
language:
Short-container-title:IEEE Trans. Big Data

Author:

Yang Chen¹^ORCID,Du Zhihui²^ORCID,Meng Xiaofeng³,Zhang Xukang³,Hao Xinli³,Bader David A.²^ORCID

Affiliation:

1. Department of Computer Science and Technology, China National Clearing Center, Tsinghua University, Beijing, China

2. Department of Data Science, New Jersey Institute of Technology, Newark, NJ, USA

3. Information School, Renmin University of China, Beijing, China

Funder

National Natural Science Foundation of China

National Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Information Systems

Link

https://ieeexplore.ieee.org/ielam/6687317/10017386/9741384-aam.pdf

Reference51 articles.

1. Image subtraction using a space-varying kernel

2. Organizing the LSST database for real-time astronomical processing;becla;Proc Astronomical Data Anal Softw Syst,2008

3. RobustSTL: A Robust Seasonal-Trend Decomposition Algorithm for Long Time Series

4. FluxEV: A Fast and Effective Unsupervised Framework for Time-Series Anomaly Detection

5. Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

Cited by 2 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. From Chaos to Clarity: Time Series Anomaly Detection in Astronomical Observations;2024 IEEE 40th International Conference on Data Engineering (ICDE);2024-05-13

2. Cleaning Big Data Streams: A Systematic Literature Review;Technologies;2023-07-26

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