EAD: effortless anomalies detection, a deep learning based approach for detecting outliers in English textual data
Anomalies are the existential abnormalities in data, the identification of which is known as anomaly detection. The absence of timely detection of anomalies may affect the key processes of decision-making, fraud detection, and automated classification. Most of the existing models of anomaly detectio...
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Main Author: | Xiuzhe Wang |
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Format: | Article |
Language: | English |
Published: |
PeerJ Inc.
2024-11-01
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Series: | PeerJ Computer Science |
Subjects: | |
Online Access: | https://peerj.com/articles/cs-2479.pdf |
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