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

Manzoor Ahmed Hashmani; Syed Muslim Jameel; Mobashar Rehman; Atsushi Inoue

doi:10.21307/ijssis-2020-029

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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

Figures & Tables

Flow chart for systematic selection of relevant articles using PRISMA guideline.

Table 1.

Research questions and their subsequent research objectives.

S.No.	Research questions	Research objectives	References
1	What are the fundamentals of the Concept Drift (CD) issue?	To provide an overview of the basics of CD and determine how CD fundamentals changed over time. Also, highlight CD measuring, quantification techniques, and possible ways to overcome CD.	(Budiman et al., 2016; Iwashita et al., 2019; Jameel et al., 2020a, b, c; Budiman et al., 2017; Zang et al., 2014; Zliobaite et al., 2014; Kuncheva, 2004; Ghorbani et al., 2017; Gupta and Dhawan, 2019; Jensen et al., 2019; Nishida et al., 2008; Harel et al., 2014; Dyer and Polikar, 2012; Khamassi et al., 2019; Saurav et al., 2018; Dongre and Malik, 2014; Dariusz, 2010; Sayed et al., 2018; Wadewale and Desai, 2015; Brzezinski and Stefanowski, 2014a; Hoens et al., 2012; Jagadeesh Chandra Bose et al., 2011; Huang et al., 2013; Minku et al., 2010; Tsymbal, 2004; Gomes et al., 2011; Hoens et al., 2011; Webb et al., 2016, 2018) Total of 29 papers
2	Do the state of art approaches (for CD handling) are adequate for current and future computing trends?	To investigate the existing CD handling approaches and determine their effectiveness and shortcomings for current and future trends.	(Jameel et al., 2020, 2020; Uddin et al., 2019, September; Liu and Wang, 2010; van Schaik and Tapson, 2015; Budiman et al., 2016; Huang et al., 2012; Zhai et al., 2014; Xu and Wang, 2016; 2017; Khamassi et al., 2019; PAC learning model Kearns and Vazirani, 1994; Gama et al., 2004; Baena-Garcıa et al., 2006; Lavaire et al., 2015; Friedman and Rafsky, 1979; Spinosa et al., 2007; Zeira et al., 2004; Kifer et al., 2004; Demšar and Bosni´c, 2018; Page, 1954; Mouss et al., 2004; Yasumura et al., 2007; Freund and Schapire, 1997; Bach and Maloof, 2008; Bifet, 2009; Bifet and Gavalda, 2007; Nishida, 2008; Ross et al., 2012; Raza et al., 2014; Rouse, 2009; Ditzler and Polikar, 2013; Zliobaite et al., 2012; Huang, 2006; Liang et al., 2006; Lan et al., 2009; Liu et al., 2019; Krawczyk, 2015; Cao et al., 2015; Khamassi et al., 2015; Brzezinski and Stefanowski, 2012; Sidhu and Bhatia, 2018; Bifet et al., 2009; Wang et al., 2003; Brzezin´ski and Stefanowski, 2011; Brzezinski and Stefanowski, 2014b; Street and Kim, 2001) Total of 46 papers

Table 2.

Primary and derived search terms for relevant research paper elicitation.

Search Terms
Primary	Concept Drift	Online learning	Machine Learning	Adaptive model	Big Data
Derived	Nonstationary features	Fast Learning	Supervised	Self-regulatory	Continuous data
	Variability and Veracity	Real-Time Learning	Unsupervised	Dynamic model	Stream data
	Conceptual change	Adaptive Learning	Clustering	Meta-Cognitive model	Unbalanced data
	Concept Shift	Dynamic Learning	Classification	Robust model	Complex data
	Feature Variability	Continuous Learning	Regression		Evolving stream

References

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Articles in this issue

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: International Journal on Smart Sensing and Intelligent Systems

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 International Journal on Smart Sensing and Intelligent Systems
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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

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

Figures & Tables

Figure 1:

Figure 2:

Table 1.

Table 2.

Paradigm

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