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Hybrid machine learning approach for anomaly detection
Author(s) -
Lai Kai Lok,
Vazeerudeen Abdul Hameed,
Muhammad Ehsan Rana
Publication year - 2022
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v27.i2.pp1016-1024
Subject(s) - anomaly detection , unsupervised learning , artificial intelligence , computer science , supervised learning , machine learning , anomaly (physics) , precision and recall , pattern recognition (psychology) , artificial neural network , physics , condensed matter physics

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