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Synthetic minority oversampling technique in stages for unb..:

, In: Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering,

Diallo, Moussa ; Xiong, Shengwu ; Coulibaly, Moussa Nianigué. - p. 69-74 , 2019

Link: https://dl.acm.org/doi/10.1145/3369555.3369578

RT 
T1 <cTitle>Proceedings of the 3rd International Conference on Telecommunications and Communication Engineering</cTitle>: T1 <Title>Synthetic minority oversampling technique in stages for unbalanced climate and rice dataset				: the Office Du Niger case study</Title>

UL https://suche.suub.uni-bremen.de/peid=acm-3369578&Exemplar=1&LAN=DE
				
A1 Diallo, Moussa
A1 Xiong, Shengwu
A1 Coulibaly, Moussa Nianigué
A1 Singh, Prabhat Ranjan
PB ACM
YR 2019
K1 Office du Niger
K1 classification
K1 climate and rice data
K1 imbalance dataset
K1 oversampling techniques
K1 Theory of computation
K1 Theory and algorithms for application domains
K1 Database theory
K1 Incomplete, inconsistent, and uncertain databases
K1 Applied computing
K1 Operations research
K1 Forecasting
K1 Computing methodologies
K1 Machine learning
K1 Machine learning approaches
K1 Classification and regression trees
SP 69
OP 74
LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3369555.3369578
DO https://dl.acm.org/doi/10.1145/3369555.3369578
SF ELIB - SuUB Bremen

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