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A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets
Li, Jinyan; Fong, Simon; Wong, Raymond K.; Mohammed, Sabah; Fiaidhi, Jinan; Sung, Yunsick
2018-08
Source PublicationAPPLIED SOFT COMPUTING
ISSN1568-4946
Volume69Pages:784-805
AbstractImbalanced datasets can be found in a number of fields; they are commonly regarded as big data because of their sheer volume and high attribute dimensions. As the name suggests, imbalanced big datasets come with an extremely imbalanced ratio between the amount of major class and minority class samples.
KeywordSwarm intelligence algorithms Dynamic multi-objective Big highly imbalanced dataset Binary classification Rebalancing algorithm
DOI10.1016/j.asoc.2017.11.028
URLView the original
Indexed BySCIE
Language英语
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence ; Computer Science, Interdisciplinary Applications
WOS IDWOS:000438775200050
PublisherELSEVIER SCIENCE BV
The Source to ArticleWOS
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Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Recommended Citation
GB/T 7714
Li, Jinyan,Fong, Simon,Wong, Raymond K.,et al. A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets[J]. APPLIED SOFT COMPUTING,2018,69:784-805.
APA Li, Jinyan,Fong, Simon,Wong, Raymond K.,Mohammed, Sabah,Fiaidhi, Jinan,&Sung, Yunsick.(2018).A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets.APPLIED SOFT COMPUTING,69,784-805.
MLA Li, Jinyan,et al."A suite of swarm dynamic multi-objective algorithms for rebalancing extremely imbalanced datasets".APPLIED SOFT COMPUTING 69(2018):784-805.
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