A hybrid deep learning-based unsupervised anomaly detection in high dimensional data

• Main Authors: Muneer, A., Taib, S.M., Fati, S.M., Balogun, A.O., Aziz, I.A.
• Format: Article
• Published: Tech Science Press 2022
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85117009228&doi=10.32604%2fcmc.2022.020732&partnerID=40&md5=0a89f42575a6dd3c06e57dbb05782837; http://eprints.utp.edu.my/28890/
• Institution: Universiti Teknologi Petronas

Anomaly detection in high dimensional data is a critical research issue with serious implication in the real-world problems. Many issues in this field still unsolved, so several modern anomaly detection methods struggle to maintain adequate accuracy due to the highly descriptive nature of big data....