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Boosting imbalanced data learning with Wiener process oversampling

Li, Qian, Li, Gang, Niu, Wenjia, Cao, Yanan, Chang, Liang, Tan, Jianlong and Guo, Li 2016, Boosting imbalanced data learning with Wiener process oversampling, Frontiers of computer science, In press, pp. 1-16, 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
Season In press
Start page 1
End page 16
Total pages 16
Publisher Springer
Place of publication Berlin, Germany
Publication date 2016-11
ISSN 2095-2228
2095-2236
Keyword(s) imbalanced-data learning
oversampling
ensemble learning
Wiener process
AdaBoost
Language eng
DOI 10.1007/s11704-016-5250-y
Field of Research 080499 - Data Format not elsewhere classified
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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