Multi-view Outlier Detection via Graphs Denoising-Reference-Cited by-同舟云学术

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Multi-view Outlier Detection via Graphs Denoising

Published:2024-01 Issue: Volume:101 Page:102012
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Hu Boao,Wang Xu,Zhou Peng^ORCID,Du Liang

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference44 articles.

1. Support vector method for novelty detection;Schölkopf,1999

2. Direct robust matrix factorizatoin for anomaly detection;Xiong,2011

3. Finding local anomalies in very high dimensional space;De Vries,2010

4. Discovering cluster-based local outliers;He;Pattern Recognit. Lett.,2003

5. Two-phase clustering process for outliers detection;Jiang;Pattern Recognit. Lett.,2001

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3. Anomaly Detection Based on GCNs and DBSCAN in a Large-Scale Graph;Electronics;2024-07-04

4. Improved Adaptive DBSCAN for Data Cleaning in Molten Iron Weighing Process;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

5. Multiple kernel clustering with local kernel reconstruction and global heat diffusion;Information Fusion;2024-05

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