Anomaly Detection Using XGBoost Ensemble of Deep Neural Network Models
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Authors
Sumaiya Thaseen Ikram
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Aswani Kumar Cherukuri
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Babu Poorva
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Pamidi Sai Ushasree
School of Information Technology and Engineering, Vellore Institute of Technology, Vellore, India
Yishuo Zhang
School of Information Technology, Deakin University, Australia
Language: English
Page range: 175 - 188
Submitted on: Jul 29, 2021
Accepted on: Sep 3, 2021
Published on: Dec 7, 2021
Published by: Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
In partnership with: Paradigm Publishing Services
Publication frequency: 4 times per year
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© 2021 Sumaiya Thaseen Ikram, Aswani Kumar Cherukuri, Babu Poorva, Pamidi Sai Ushasree, Yishuo Zhang, Xiao Liu, Gang Li, published by Bulgarian Academy of Sciences, Institute of Information and Communication Technologies
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.