A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets.
Victoria LópezAlberto FernándezMaría José del JesusFrancisco HerreraPublished in: Knowl. Based Syst. (2013)
Keyphrases
- highly imbalanced
- genetic programming
- data sets
- class distribution
- imbalanced data
- cost sensitive
- regression problems
- feature vectors
- classification accuracy
- classification algorithm
- text classification
- machine learning
- fitness function
- class labels
- class imbalance
- neural network
- pattern classification
- active learning
- feature space
- feature extraction
- feature selection
- error rate
- unlabeled data
- unsupervised learning
- supervised learning
- multi class
- support vector machine
- classification models
- concept drift
- training set
- cost sensitive learning