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An Empirical Study on Anomaly Detection Algorithms for Extremely Imbalanced Datasets.
Gonçalo Fontes
Luís Miguel Matos
Arthur Matta
André Luiz Pilastri
Paulo Cortez
Published in:
AIAI (1) (2022)
Keyphrases
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anomaly detection
intrusion detection
one class support vector machines
imbalanced datasets
detect anomalies
learning algorithm
decision trees
pattern recognition
machine learning algorithms
benchmark datasets
intrusion detection system
feature selection algorithms
detecting anomalies