An Active Under-Sampling Approach for Imbalanced Data Classification

2012 Fifth International Symposium on Computational Intelligence and Design ◽

10.1109/iscid.2012.219 ◽

2012 ◽

Cited By ~ 7

Author(s):

Zeping Yang ◽

Daqi Gao

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Under Sampling ◽

Sampling Approach

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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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An under-sampling technique for imbalanced data classification based on DBSCAN algorithm

2020 8th Iranian Joint Congress on Fuzzy and intelligent Systems (CFIS) ◽

10.1109/cfis49607.2020.9238718 ◽

2020 ◽

Author(s):

Behzad Mirzaei ◽

Bahareh Nikpour ◽

Hossein Nezamabadi-Pour

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Sampling Technique ◽

Dbscan Algorithm ◽

Imbalanced Data Classification ◽

Under Sampling

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A New Under-Sampling Method Using Genetic Algorithm for Imbalanced Data Classification

Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication - IMCOM '16 ◽

10.1145/2857546.2857643 ◽

2016 ◽

Cited By ~ 9

Author(s):

Jihyun Ha ◽

Jong-Seok Lee

Keyword(s):

Genetic Algorithm ◽

Sampling Method ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Under Sampling

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Evolutionary under-sampling based bagging ensemble method for imbalanced data classification

Frontiers of Computer Science ◽

10.1007/s11704-016-5306-z ◽

2018 ◽

Vol 12 (2) ◽

pp. 331-350 ◽

Cited By ~ 17

Author(s):

Bo Sun ◽

Haiyan Chen ◽

Jiandong Wang ◽

Hua Xie

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Ensemble Method ◽

Imbalanced Data Classification ◽

Under Sampling ◽

Bagging Ensemble

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RWO-Sampling: A random walk over-sampling approach to imbalanced data classification

Information Fusion ◽

10.1016/j.inffus.2013.12.003 ◽

2014 ◽

Vol 20 ◽

pp. 99-116 ◽

Cited By ~ 52

Author(s):

Huaxiang Zhang ◽

Mingfang Li

Keyword(s):

Random Walk ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Sampling Approach

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A Normal Distribution-Based Over-Sampling Approach to Imbalanced Data Classification

Advanced Data Mining and Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-25853-4_7 ◽

2011 ◽

pp. 83-96 ◽

Cited By ~ 10

Author(s):

Huaxiang Zhang ◽

Zhichao Wang

Keyword(s):

Normal Distribution ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Sampling Approach

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An imbalanced data classification method based on automatic clustering under-sampling

2016 IEEE 35th International Performance Computing and Communications Conference (IPCCC) ◽

10.1109/pccc.2016.7820640 ◽

2016 ◽

Cited By ~ 5

Author(s):

Xiaoheng Deng ◽

Weijian Zhong ◽

Ju Ren ◽

Detian Zeng ◽

Honggang Zhang

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Classification Method ◽

Automatic Clustering ◽

Imbalanced Data Classification ◽

Under Sampling

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Imbalanced Data Classification Using Improved Clustering Algorithm and Under-Sampling Method

2019 20th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT) ◽

10.1109/pdcat46702.2019.00071 ◽

2019 ◽

Cited By ~ 2

Author(s):

Lu Cao ◽

Hong Shen

Keyword(s):

Sampling Method ◽

Clustering Algorithm ◽

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Under Sampling

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A cluster-based hybrid sampling approach for imbalanced data classification

Review of Scientific Instruments ◽

10.1063/5.0008935 ◽

2020 ◽

Vol 91 (5) ◽

pp. 055101

Author(s):

Shou Feng ◽

Chunhui Zhao ◽

Ping Fu

Keyword(s):

Imbalanced Data ◽

Data Classification ◽

Imbalanced Data Classification ◽

Sampling Approach ◽

Hybrid Sampling

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A design of information granule-based under-sampling method in imbalanced data classification

Soft Computing ◽

10.1007/s00500-020-05023-2 ◽

2020 ◽

Vol 24 (22) ◽

pp. 17333-17347 ◽

Cited By ~ 1

Author(s):

Tianyu Liu ◽

Xiubin Zhu ◽

Witold Pedrycz ◽

Zhiwu Li

Keyword(s):

Sampling Method ◽

Imbalanced Data ◽

Data Classification ◽

Information Granule ◽

Imbalanced Data Classification ◽

Under Sampling

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