A flexible non-monotonic discretization method for pre-processing in supervised learning.
Hatice SenozanBanu SoyluPublished in: Pattern Recognit. Lett. (2024)
Keyphrases
- discretization method
- preprocessing
- supervised learning
- preprocessing step
- discretization methods
- continuous attributes
- naive bayes classifier
- unsupervised learning
- discrete data
- training data
- machine learning
- learning algorithm
- training set
- active learning
- labeled data
- semi supervised
- numeric attributes
- training samples
- data mining algorithms
- feature selection
- decision trees
- co training
- generalization error
- unlabeled data
- neural network
- bayesian networks
- support vector machine
- pairwise