A Gaussian mixture model based combined resampling algorithm for classification of imbalanced credit data sets.
Xu HanRunbang CuiYanfei LanYanzhe KangJiang DengNing JiaPublished in: Int. J. Mach. Learn. Cybern. (2019)
Keyphrases
- data sets
- benchmark data sets
- classification algorithm
- dynamic programming
- classification method
- preprocessing
- simulated annealing
- feature extraction
- support vector machine svm
- computational complexity
- learning algorithm
- classification scheme
- em algorithm
- input data
- support vector machine
- classification accuracy
- k means
- feature vectors
- imbalanced data sets
- feature space
- objective function
- classification trees
- classification rate
- synthetic and real world data sets
- feature selection algorithms
- linear computational complexity
- unseen test data
- detection algorithm
- mixture model
- supervised learning
- np hard
- training set
- support vector
- training data
- decision trees