Search-based cost-sensitive hypergraph learning for anomaly detection

DOI10.1016/j.ins.2022.07.029OpenAlexW4294631304MaRDI QIDQ6190864

Xibin Zhao, Boya Zhou, Yue Gao, Yubo Zhang, Nan Wang, Hao Fan, Yingli Zheng

Publication date: 6 March 2024

Published in: Information Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.ins.2022.07.029

zbMATH Keywords

anomaly detectionimbalanced datacost-sensitive learninghypergraph learning

Mathematics Subject Classification ID

Statistics (62-XX) Computer science (68-XX)

Cites Work

• Multi-granulation method for information fusion in multi-source decision information system
• A novel approach to information fusion in multi-source datasets: a granular computing viewpoint
• On-line anomaly detection with advanced independent component analysis of multi-variate residual signals from causal relation networks
• Using the Support Vector Machine as a Classification Method for Software Defect Prediction with Static Code Metrics

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