Diversity Aware-Based Sequential Ensemble Learning for Robust Anomaly Detection

Diversity Aware-Based Sequential Ensemble Learning for Robust Anomaly Detection

Anomaly detection has become a popular topic in many domains because anomalies can provide valuable information. Recently, ensemble learning has been applied to improve the generalization ability of existing anomaly detection methods. In an anomaly ensemble framework, diversity is essential for buil...

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Bibliographic Details
Main Authors: Jia Zhang, Zhiyong Li, Shaomiao Chen
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
ensemble learning
diversity
generalization ability
Online Access:https://ieeexplore.ieee.org/document/9016158/

Internet

https://ieeexplore.ieee.org/document/9016158/

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