CODE: A Data Complexity Framework for Imbalanced Datasets

New Frontiers in Applied Data Mining - Lecture Notes in Computer Science ◽

10.1007/978-3-642-14640-4_2 ◽

2010 ◽

pp. 16-27 ◽

Cited By ~ 1

Author(s):

Cheng G. Weng ◽

Josiah Poon

Keyword(s):

Data Complexity ◽

Imbalanced Datasets

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A Data Complexity Analysis on Imbalanced Datasets and an Alternative Imbalance Recovering Strategy

2006 IEEE/WIC/ACM International Conference on Web Intelligence (WI 2006 Main Conference Proceedings)(WI'06) ◽

10.1109/wi.2006.9 ◽

2006 ◽

Cited By ~ 15

Author(s):

Cheng Weng ◽

Josiah Poon

Keyword(s):

Complexity Analysis ◽

Data Complexity ◽

Imbalanced Datasets

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Weighted k ‐nearest neighbor based data complexity metrics for imbalanced datasets

Statistical Analysis and Data Mining The ASA Data Science Journal ◽

10.1002/sam.11463 ◽

2020 ◽

Vol 13 (4) ◽

pp. 394-404

Author(s):

Deepika Singh ◽

Anjana Gosain ◽

Anju Saha

Keyword(s):

Nearest Neighbor ◽

Data Complexity ◽

K Nearest Neighbor ◽

Imbalanced Datasets ◽

Complexity Metrics

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Assessing the data complexity of imbalanced datasets

Information Sciences ◽

10.1016/j.ins.2020.12.006 ◽

2021 ◽

Vol 553 ◽

pp. 83-109

Author(s):

Victor H. Barella ◽

Luís P.F. Garcia ◽

Marcilio C.P. de Souto ◽

Ana C. Lorena ◽

André C.P.L.F. de Carvalho

Keyword(s):

Data Complexity ◽

Imbalanced Datasets

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Faculty Opinions recommendation of The precision-recall plot is more informative than the ROC plot when evaluating binary classifiers on imbalanced datasets.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.725375858.793530299 ◽

2017 ◽

Author(s):

Michael Barnes ◽

David Watson

Keyword(s):

Imbalanced Datasets ◽

Binary Classifiers

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Imbalanced datasets in the generation of fuzzy classification systems - an investigation using a multiobjective evolutionary algorithm based on decomposition

2016 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) ◽

10.1109/fuzz-ieee.2016.7737859 ◽

2016 ◽

Cited By ~ 4

Author(s):

Edward Hinojosa Cardenas ◽

Heloisa A. Camargo ◽

Yvan J. Tupac

Keyword(s):

Evolutionary Algorithm ◽

Classification Systems ◽

Fuzzy Classification ◽

Imbalanced Datasets ◽

Multiobjective Evolutionary Algorithm

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Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets

IEEE Access ◽

10.1109/access.2021.3051969 ◽

2021 ◽

Vol 9 ◽

pp. 13717-13726

Author(s):

Chih-Fong Tsai ◽

Wei-Chao Lin

Keyword(s):

Feature Selection ◽

Empirical Study ◽

Ensemble Learning ◽

Imbalanced Datasets ◽

Learning Techniques

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A Multi-Schematic Classifier-Independent Oversampling Approach for Imbalanced Datasets

IEEE Access ◽

10.1109/access.2021.3108450 ◽

2021 ◽

Vol 9 ◽

pp. 123358-123374

Author(s):

Saptarshi Bej ◽

Kristian Schulz ◽

Prashant Srivastava ◽

Markus Wolfien ◽

Olaf Wolkenhauer

Keyword(s):

Imbalanced Datasets

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Data sanitization against adversarial label contamination based on data complexity

International Journal of Machine Learning and Cybernetics ◽

10.1007/s13042-016-0629-5 ◽

2017 ◽

Vol 9 (6) ◽

pp. 1039-1052 ◽

Cited By ~ 8

Author(s):

Patrick P. K. Chan ◽

Zhi-Min He ◽

Hongjiang Li ◽

Chien-Chang Hsu

Keyword(s):

Data Complexity ◽

Data Sanitization

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Learning fuzzy classification rules from imbalanced datasets using multi-objective evolutionary algorithm

2015 Latin America Congress on Computational Intelligence (LA-CCI) ◽

10.1109/la-cci.2015.7435959 ◽

2015 ◽

Cited By ~ 1

Author(s):

C. Edward Hinojosa ◽

Heloisa A. Camargo ◽

V. Yvan J. Tupac

Keyword(s):

Evolutionary Algorithm ◽

Fuzzy Classification ◽

Classification Rules ◽

Imbalanced Datasets ◽

Multi Objective

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Using Voronoi diagrams to improve classification performances when modeling imbalanced datasets

Neural Computing and Applications ◽

10.1007/s00521-014-1780-0 ◽

2014 ◽

Vol 26 (5) ◽

pp. 1041-1054 ◽

Cited By ~ 8

Author(s):

William A. Young ◽

Scott L. Nykl ◽

Gary R. Weckman ◽

David M. Chelberg

Keyword(s):

Voronoi Diagrams ◽

Imbalanced Datasets

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