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Tracking recurring concepts from evolving data streams using ensemble method
Joint Authors
Zhang, Wei
Sun, Yange
Wang, Zhihai
Yuan, Jidong
Source
The International Arab Journal of Information Technology
Issue
Vol. 16, Issue 6 (30 Nov. 2019), pp.1044-1052, 9 p.
Publisher
Publication Date
2019-11-30
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Ensemble models are the most widely used methods for classifying evolving data stream.
However, most of the existing data stream ensemble classification algorithms do not consider the issue of recurring concepts, which commonly exist in real-world applications.
Motivated by this challenge, an Ensemble with internal Change Detection (ECD) was proposed to enhance performance by exploring the recurring concepts.
It is done by maintaining a pool of classifiers, which dynamically adds and removes classifiers in response to the change detector.
The algorithm adopts a two window change detection model, which adopts the Jensen-Shannon divergence to measure the distance of the distributions between old and recent data.
When a change is detected, the repository of stored historical concepts is checked for reuse.
Experimental results on both synthetic and real-world data streams demonstrate that the proposed algorithm not only outperforms the state-of-art methods on standard evaluation metrics, but also adapts well in different types of concept drift scenarios especially when concept s reappear.
American Psychological Association (APA)
Sun, Yange& Wang, Zhihai& Yuan, Jidong& Zhang, Wei. 2019. Tracking recurring concepts from evolving data streams using ensemble method. The International Arab Journal of Information Technology،Vol. 16, no. 6, pp.1044-1052.
https://search.emarefa.net/detail/BIM-915131
Modern Language Association (MLA)
Sun, Yange…[et al.]. Tracking recurring concepts from evolving data streams using ensemble method. The International Arab Journal of Information Technology Vol. 16, no. 6 (Nov. 2019), pp.1044-1052.
https://search.emarefa.net/detail/BIM-915131
American Medical Association (AMA)
Sun, Yange& Wang, Zhihai& Yuan, Jidong& Zhang, Wei. Tracking recurring concepts from evolving data streams using ensemble method. The International Arab Journal of Information Technology. 2019. Vol. 16, no. 6, pp.1044-1052.
https://search.emarefa.net/detail/BIM-915131
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references : p. 1050-1051
Record ID
BIM-915131