Generative Oversampling and Deep Forest based Minority-class Sensitive Fault Diagnosis Approach.
Huifang LiRui FanQisong ShiPublished in: SMC (2020)
Keyphrases
- fault diagnosis
- minority class
- class imbalance
- majority class
- class distribution
- classification error
- nearest neighbour
- neural network
- cost sensitive learning
- expert systems
- imbalanced data
- decision boundary
- support vector machine
- fault detection
- generative model
- training dataset
- ensemble learning
- training set
- fuzzy logic
- active learning
- original data
- sampling methods
- training data
- cost sensitive
- bp neural network
- attribute selection
- concept drift
- high dimensionality
- unsupervised learning
- decision making
- test data
- training samples
- markov chain
- multi class
- decision trees
- feature selection