Integrating MTS with bagging strategy for class imbalance problems

Yu‐Hsiang Hsiao; Chao‐Ton Su; Pin-Cheng Fu

doi:10.1007/s13042-019-01033-1

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Integrating MTS with bagging strategy for class imbalance problems

Yu‐Hsiang Hsiao Chao‐Ton Su Pin-Cheng Fu

Year: 2019 Journal: International Journal of Machine Learning and Cybernetics Vol: 11 (6)Pages: 1217-1230 Publisher: Springer Science+Business Media

DOI: 10.1007/s13042-019-01033-1

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Keywords:

Mahalanobis distance Computer science Machine learning Class (philosophy) Artificial intelligence Identification (biology) Computational intelligence Ensemble learning Data mining

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Industrial Vision Systems and Defect Detection

Physical Sciences → Engineering → Industrial and Manufacturing Engineering

Advanced Statistical Process Monitoring

Social Sciences → Decision Sciences → Statistics, Probability and Uncertainty

Integrating MTS with bagging strategy for class imbalance problems

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