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Managing Imbalanced Data Sets in Multi-label Problems: A Case Study with the SMOTE Algorithm.

Andrés Felipe Giraldo-ForeroJorge Alberto Jaramillo-GarzónJosé Francisco Ruiz-MuñozCésar Germán Castellanos-Domínguez
Published in: CIARP (1) (2013)
Keyphrases
  • imbalanced data sets
  • multi label
  • learning algorithm
  • similarity measure
  • imbalanced data
  • data sets
  • neural network
  • feature selection
  • high dimensional
  • benchmark data sets
  • concept learning
  • regression problems