![](/images/graphics-bg.png)
Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams
Joint Authors
Wu, Jia
Liu, Sanmin
Xue, Shan
Liu, Fanzhen
Cheng, Jieren
Li, Xiulai
Kong, Chao
Source
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-05-05
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Data stream classification becomes a promising prediction work with relevance to many practical environments.
However, under the environment of concept drift and noise, the research of data stream classification faces lots of challenges.
Hence, a new incremental ensemble model is presented for classifying nonstationary data streams with noise.
Our approach integrates three strategies: incremental learning to monitor and adapt to concept drift; ensemble learning to improve model stability; and a microclustering procedure that distinguishes drift from noise and predicts the labels of incoming instances via majority vote.
Experiments with two synthetic datasets designed to test for both gradual and abrupt drift show that our method provides more accurate classification in nonstationary data streams with noise than the two popular baselines.
American Psychological Association (APA)
Liu, Sanmin& Xue, Shan& Liu, Fanzhen& Cheng, Jieren& Li, Xiulai& Kong, Chao…[et al.]. 2020. Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams. Complexity،Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142746
Modern Language Association (MLA)
Liu, Sanmin…[et al.]. Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams. Complexity No. 2020 (2020), pp.1-12.
https://search.emarefa.net/detail/BIM-1142746
American Medical Association (AMA)
Liu, Sanmin& Xue, Shan& Liu, Fanzhen& Cheng, Jieren& Li, Xiulai& Kong, Chao…[et al.]. Microcluster-Based Incremental Ensemble Learning for Noisy, Nonstationary Data Streams. Complexity. 2020. Vol. 2020, no. 2020, pp.1-12.
https://search.emarefa.net/detail/BIM-1142746
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1142746