An Empirical Study on Supervised and Unsupervised Fuzzy Measure Construction Methods in Highly Imbalanced Classification.
Mikel UrizDaniel PaternainHumberto BustinceMikel GalarPublished in: FUZZ-IEEE (2020)
Keyphrases
- unsupervised methods
- unsupervised learning
- benchmark datasets
- supervised learning
- machine learning methods
- machine learning
- feature selection
- data analysis
- classification accuracy
- semi supervised
- highly imbalanced
- data sets
- classification models
- density estimation
- training set
- feature space
- pattern recognition
- decision trees
- data mining