An Ensemble of Naive Bayes Classifiers for Uncertain Categorical Data.
Marcelo Rodrigues de Holanda MaiaAlexandre PlastinoAlex Alves FreitasPublished in: ICDM (2021)
Keyphrases
- categorical data
- naive bayes classifier
- naive bayes
- cluster analysis
- numerical data
- base classifiers
- text classification
- training data
- classification error
- noisy data
- support vector machine
- attribute values
- ensemble methods
- variable selection
- continuous attributes
- feature selection
- data sets
- classification accuracy
- decision trees
- text categorization
- continuous variables
- learning algorithm
- information retrieval
- machine learning
- hierarchical latent class models
- co training
- knowledge discovery
- pairwise
- training set
- bayesian networks
- real world