Effects of Resampling Techniques on Imbalanced Data Classification: A New Under-resampling Method

Advances in Business and Management Forecasting ◽

10.1108/s1477-407020210000014005 ◽

2021 ◽

pp. 51-70

Author(s):

Son Nguyen ◽

Phyllis Schumacher ◽

Alan Olinsky ◽

John Quinn

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Resampling Method

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A novel imbalanced data classification approach for suicidal ideation detection on social media

Computing ◽

10.1007/s00607-021-00984-0 ◽

2021 ◽

Author(s):

Mohamed Ali Ben Hassine ◽

Safa Abdellatif ◽

Sadok Ben Yahia

Keyword(s):

Social Media ◽

Suicidal Ideation ◽

Imbalanced Data ◽

Data Classification ◽

Classification Approach ◽

Imbalanced Data Classification

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Radial-Based Undersampling for imbalanced data classification

Pattern Recognition ◽

10.1016/j.patcog.2020.107262 ◽

2020 ◽

Vol 102 ◽

pp. 107262 ◽

Cited By ~ 7

Author(s):

Michał Koziarski

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification

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Research of Medical High-Dimensional Imbalanced Data Classification Ensemble Feature Selection Algorithm with Random Forest

2017 International Conference on Smart Grid and Electrical Automation (ICSGEA) ◽

10.1109/icsgea.2017.158 ◽

2017 ◽

Cited By ~ 2

Author(s):

Min Zhu ◽

Bo Su ◽

Gangmin Ning

Keyword(s):

Feature Selection ◽

Random Forest ◽

Imbalanced Data ◽

Data Classification ◽

High Dimensional ◽

Selection Algorithm ◽

Feature Selection Algorithm ◽

Imbalanced Data Classification

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Data reduction and stacking for imbalanced data classification

Journal of Intelligent & Fuzzy Systems ◽

10.3233/jifs-179335 ◽

2019 ◽

Vol 37 (6) ◽

pp. 7239-7249

Author(s):

Ireneusz Czarnowski ◽

Piotr Jędrzejowicz

Keyword(s):

Data Reduction ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification

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An Under-Sampling Method with Support Vectors in Multi-class Imbalanced Data Classification

2019 13th International Conference on Software, Knowledge, Information Management and Applications (SKIMA) ◽

10.1109/skima47702.2019.8982391 ◽

2019 ◽

Cited By ~ 1

Author(s):

Md. Yasir Arafat ◽

Sabera Hoque ◽

Shuxiang Xu ◽

Dewan Md. Farid

Keyword(s):

Sampling Method ◽

Imbalanced Data ◽

Data Classification ◽

Support Vectors ◽

Imbalanced Data Classification ◽

Under Sampling

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Imbalanced data classification using complementary fuzzy support vector machine techniques and SMOTE

2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/smc.2017.8122737 ◽

2017 ◽

Cited By ~ 5

Author(s):

Ratchakoon Pruengkarn ◽

Kok Wai Wong ◽

Chun Che Fung

Keyword(s):

Support Vector Machine ◽

Imbalanced Data ◽

Data Classification ◽

Support Vector ◽

Fuzzy Support Vector Machine ◽

Imbalanced Data Classification

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Imbalanced data classification algorithm based on boosting and cascade model

2012 IEEE International Conference on Systems, Man, and Cybernetics (SMC) ◽

10.1109/icsmc.2012.6378183 ◽

2012 ◽

Author(s):

Xiaolong Zhang ◽

Chao Cheng

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Classification Algorithm ◽

Cascade Model ◽

Imbalanced Data Classification

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UFFDFR: Undersampling framework with denoising, fuzzy c-means clustering, and representative sample selection for imbalanced data classification

Information Sciences ◽

10.1016/j.ins.2021.07.053 ◽

2021 ◽

Author(s):

Ming Zheng ◽

Tong Li ◽

Xiaoyao Zheng ◽

Qingying Yu ◽

Chuanming Chen ◽

...

Keyword(s):

Representative Sample ◽

Sample Selection ◽

Imbalanced Data ◽

Data Classification ◽

Fuzzy C Means ◽

Imbalanced Data Classification ◽

Fuzzy C Means Clustering ◽

Selection For

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Optimizing Weighted ELM Based on Gray Wolf Optimizer for Imbalanced Data Classification

2018 10th International Conference on Information Technology and Electrical Engineering (ICITEE) ◽

10.1109/iciteed.2018.8534930 ◽

2018 ◽

Author(s):

Chudapa Thammasakorn ◽

Sirapat Chiewchanwattana ◽

Khamron Sunat

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Gray Wolf ◽

Gray Wolf Optimizer ◽

Imbalanced Data Classification

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Selecting local ensembles for multi-class imbalanced data classification

2018 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2018.8489572 ◽

2018 ◽

Cited By ~ 3

Author(s):

Bartosz Krawczyk ◽

Alberto Cano ◽

Micha Wozniak

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification

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