Performance Evaluation of Online Machine Learning Models Based on Cyclic Dynamic and Feature-Adaptive Time Series-Reference-Cited by-同舟云学术

Performance Evaluation of Online Machine Learning Models Based on Cyclic Dynamic and Feature-Adaptive Time Series

Published:2021-08-01 Issue:8 Volume:E104.D Page:1172-1184
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. & Syst.

Author:

AL-KHALEEFA Ahmed Salih¹,HASSAN Rosilah²,AHMAD Mohd Riduan³,QAMAR Faizan²,WEN Zheng⁴,MOHD AMAN Azana Hafizah²,YU Keping⁵

Affiliation:

1. Department of Computer Engineering, Faculty of Information Technology, Imam Jafar Al-Sadiq University

2. Centre for Cyber Security, Faculty of Information Science and Technology (FTSM), Universiti Kebangsaan Malaysia (UKM)

3. Broadband and Networking (BBNET) Research Group, Center for Telecommunication and Research Innovation (CeTRI), Fakulti Kejuruteraan Elektronik dan Kejuruteraan Komputer (FKEKK), Universiti Teknikal Malaysia Melaka (UTeM)

4. Department of Communications and Computer Engineering, Faculty of School of Fundamental Science and Engineering, Waseda University

5. Global Information and Telecommunication Institute, Waseda University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E104.D/8/E104.D_2020BDP0002/_pdf

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