A novel multi-modal incremental tensor decomposition for anomaly detection in large-scale networks-Reference-Cited by-同舟云学术

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A novel multi-modal incremental tensor decomposition for anomaly detection in large-scale networks

Published:2024-10 Issue: Volume:681 Page:121210
ISSN:0020-0255
Container-title:Information Sciences
language:en
Short-container-title:Information Sciences

Author:

Fan Rongqiao,Fan Qiyuan,Li Xue,Wang Puming,Xu Jing,Jin Xin,Yao Shaowen,Liu Peng

Funder

Foundation for Innovative Research Groups of the National Natural Science Foundation of China

Publisher

Elsevier BV

Reference32 articles.

1. Sensitivity of PCA for traffic anomaly detection;Ringberg,2007

2. Distributed and explainable GHSOM for anomaly detection in sensor networks;Mignone;Mach. Learn.,2024

3. Tensor decompositions for hyperspectral data processing in remote sensing: a comprehensive review;Wang;IEEE Geosci. Remote Sens. Mag.,2023

4. eOTD: an efficient online Tucker decomposition for higher order tensors;Xiao,2018

5. In-network PCA and anomaly detection;Huang;Adv. Neural Inf. Process. Syst.,2006

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