A Naive Bayes approach for URL classification with supervised feature selection and rejection framework.
Ratnavel RajalakshmiChandrabose AravindanPublished in: Comput. Intell. (2018)
Keyphrases
- naive bayes
- text classification
- classification accuracy
- supervised feature selection
- decision trees
- naive bayes classifier
- classification algorithm
- feature selection
- probabilistic classifiers
- logistic regression
- text classifiers
- uci datasets
- naive bayesian classifier
- bayesian classifier
- text categorization
- bayesian network classifiers
- training data
- augmented naive bayes
- cost sensitive
- supervised learning
- feature space
- pattern recognition
- naive bayes models
- combining classifiers
- uci data sets
- machine learning
- text mining
- training set
- support vector
- image segmentation
- neural network
- unsupervised learning
- model selection
- natural language processing
- probabilistic model
- active learning
- feature extraction
- averaged one dependence estimators