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Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review Cover

Concept Drift Evolution In Machine Learning Approaches: A Systematic Literature Review

International Journal on Smart Sensing and Intelligent Systems
Volume 13 (2020): Issue 1 (January 2020)
By: Manzoor Ahmed Hashmani,  Syed Muslim Jameel,  Mobashar Rehman and  Atsushi Inoue  
Open Access
|Feb 2021
Authors

Authors

Manzoor Ahmed Hashmani

Universiti Teknologi PETRONAS (UTP), Perak, Malaysia

Syed Muslim Jameel

muslim_16000370@utp.edu.my

Universiti Teknologi PETRONAS (UTP), Perak, Malaysia

Mobashar Rehman

Universiti Tunku Abdul Rahman Perak, Kampar, Malaysia

Atsushi Inoue

Eastern Washington University, Cheney, United States
DOI: https://doi.org/10.21307/ijssis-2020-029 | Journal eISSN: 1178-5608
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Language: English
Page range: 1 - 16
Submitted on: Dec 9, 2019
Published on: Feb 2, 2021
Published by: Macquarie University, Australia
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year
Keywords:
Big data analysis,
Concept drift,
Nonstationary environment,
Adaptive machine learning,
Online learning
Related subjects:
Engineering,
Introductions and overviews,
Engineering, other

© 2021 Manzoor Ahmed Hashmani, Syed Muslim Jameel, Mobashar Rehman, Atsushi Inoue, published by Macquarie University, Australia
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Volume 13 (2020): Issue 1 (January 2020)
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