Open AccessA Hybrid Deep Learning-Based Unsupervised Anomaly Detection in High Dimensional Data
Author(s) -
Amgad Muneer,
Shakirah Mohd Taib,
Suliman Mohamed Fati,
Abdullateef O. Balogun,
Izzatdin Abdul Aziz
Publication year - 2021
Publication title -
computers, materials and continua/computers, materials and continua (print)
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.788
H-Index - 40
eISSN - 1546-2226
pISSN - 1546-2218
DOI - 10.32604/cmc.2022.021113
Subject(s) - autoencoder , computer science , curse of dimensionality , anomaly detection , artificial intelligence , artificial neural network , deep learning , machine learning , function (biology) , pattern recognition (psychology) , stochastic gradient descent , data mining , evolutionary biology , biology
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