Adaptive Ensemble Undersampling-Boost: A novel learning framework for imbalanced data.

Wei Lu Zhe Li Jinghui Chu

Published in: J. Syst. Softw. (2017)

Keyphrases

imbalanced data
learning from imbalanced data
learning algorithm
random forest
learning scheme
learning process
neural network
learning tasks
ensemble methods
ensemble classifier
supervised learning
machine learning algorithms
learning problems
linear regression
class distribution
imbalanced data sets