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Online approach to handle concept drifting data streams using diversity
Joint Authors
Sidhu, Parneeta
Bhatia, Mohinder
Source
The International Arab Journal of Information Technology
Issue
Vol. 14, Issue 3 (31 May. 2017), pp.293-299, 7 p.
Publisher
Publication Date
2017-05-31
Country of Publication
Jordan
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
Concept drift is the trend observed in almost all real time applications.
Many online and offline algorithms were developed in the past to analyze this drift and train our algorithms.
Different levels of diversity are required before and after a drift to get the best generalization accuracy.
In our paper, we present a new online approach Extended Dynamic Weighted Majority with diversity (EDWM) to handle various types of drifts from slow gradual to abrupt drifts.
Our approach is based on the Weighted Majority(WM) vote of the ensembles containing different diversity levels.
Experiments on the various artificial and real datasets proved that our proposed ensemble approach learns drifting concepts better than the existing online approaches in a resource constrained environment.
American Psychological Association (APA)
Sidhu, Parneeta& Bhatia, Mohinder. 2017. Online approach to handle concept drifting data streams using diversity. The International Arab Journal of Information Technology،Vol. 14, no. 3, pp.293-299.
https://search.emarefa.net/detail/BIM-819506
Modern Language Association (MLA)
Sidhu, Parneeta& Bhatia, Mohinder. Online approach to handle concept drifting data streams using diversity. The International Arab Journal of Information Technology Vol. 14, no. 3 (2017), pp.293-299.
https://search.emarefa.net/detail/BIM-819506
American Medical Association (AMA)
Sidhu, Parneeta& Bhatia, Mohinder. Online approach to handle concept drifting data streams using diversity. The International Arab Journal of Information Technology. 2017. Vol. 14, no. 3, pp.293-299.
https://search.emarefa.net/detail/BIM-819506
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 298-299
Record ID
BIM-819506