JOURNAL ARTICLE

Improving the accuracy of k-nearest neighbor (k-NN) using Synthetic Minority Oversampling Technique (SMOTE) and Gain Ratio (GR) for imbalanced class data

Adli Abdillah NababanSutarman SutarmanMuhammad ZarlisErna Budhiarti Nababan

Year: 2023 Journal:   AIP conference proceedings Vol: 2714 Pages: 030012-030012   Publisher: American Institute of Physics
Keywords:
Oversampling k-nearest neighbors algorithm Class (philosophy) Computer science Artificial intelligence Pattern recognition (psychology) Data mining Telecommunications Bandwidth (computing)

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0.04
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Topics

Imbalanced Data Classification Techniques
Physical Sciences →  Computer Science →  Artificial Intelligence
Face and Expression Recognition
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Statistical Methods and Models
Physical Sciences →  Mathematics →  Statistics and Probability

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