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Communications in Statistics - Simulation and Computation Volume 45, 2016 - Issue 4
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The 9th Chinese Data Mining and Applied Statistics Cross-Strait Conference

Dealing with Imbalanced Dataset: A Re-sampling Method Based on the Improved SMOTE Algorithm

Wei XueSchool of Statistics, Center for Applied Statistics, Renmin University of China, Beijing, P. R. ChinaCorrespondence[email protected]
&
Jing ZhangSchool of Statistics, Center for Applied Statistics, Renmin University of China, Beijing, P. R. China
Pages 1160-1172 | Received 05 Aug 2012, Accepted 05 Sep 2012, Published online: 14 Apr 2016

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Drazen Bajer, Bruno Zonc, Mario Dudjak & Goran Martinovic. (2019) Performance Analysis of SMOTE-based Oversampling Techniques When Dealing with Data Imbalance. Performance Analysis of SMOTE-based Oversampling Techniques When Dealing with Data Imbalance.
Jun Zhou, Huaping Guo & Chang-An Wu. (2018) Ensemble based on Constraint Projection and Under-Sampling for Imbalanced Learning. Ensemble based on Constraint Projection and Under-Sampling for Imbalanced Learning.
Jihoon Shin, SangHyun Son & YoonKyung Cha. (2022) Spatial Distribution Modeling of Customer Complaints Using Machine Learning for Indoor Water Leakage Management. SSRN Electronic Journal.
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