Boosting imbalanced data learning with Wiener process oversampling

Li, Qian, Li, Gang, Niu, Wenjia, Cao, Yanan, Chang, Liang, Tan, Jianlong and Guo, Li 2017, Boosting imbalanced data learning with Wiener process oversampling, Frontiers of computer science, vol. 11, no. 5, pp. 836-851, doi: 10.1007/s11704-016-5250-y.

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Title Boosting imbalanced data learning with Wiener process oversampling
Author(s) Li, Qian
Li, GangORCID iD for Li, Gang orcid.org/0000-0003-1583-641X
Niu, Wenjia
Cao, Yanan
Chang, Liang
Tan, Jianlong
Guo, Li
Journal name Frontiers of computer science
Volume number 11
Issue number 5
Start page 836
End page 851
Total pages 16
Publisher Springer
Place of publication Berlin, Germany
Publication date 2017-10
ISSN 2095-2228
2095-2236
Keyword(s) Science & Technology
Technology
Computer Science, Information Systems
Computer Science, Software Engineering
Computer Science, Theory & Methods
Computer Science
imbalanced-data learning
oversampling
ensemble learning
Wiener process
AdaBoost
OVER-SAMPLING TECHNIQUE
ENSEMBLE
SMOTE
SYSTEM
Language eng
DOI 10.1007/s11704-016-5250-y
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2016, Higher Education Press and Springer-Verlag Berlin Heidelberg
Persistent URL http://hdl.handle.net/10536/DRO/DU:30090210

Document type: Journal Article
Collection: School of Information Technology
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