Measurement classification using hybrid weighted Naive Bayes.
David HamblinDali WangGao ChenPublished in: CIVEMSA (2016)
Keyphrases
- naive bayes
- classification accuracy
- augmented naive bayes
- decision trees
- naive bayes classifier
- text classification
- classification algorithm
- probabilistic classifiers
- naive bayesian classifier
- uci datasets
- logistic regression
- bayesian classifier
- uci data sets
- cost sensitive
- text classifiers
- feature selection
- naive bayes models
- training data
- class probabilities
- bayesian network classifiers
- probability estimation
- text categorization
- feature space
- classification models
- conditional independence assumption
- test instances
- highly skewed
- naive bayes classification
- probability estimates
- machine learning
- support vector
- bayesian networks
- independence assumption
- combining classifiers
- base classifiers
- kernel density estimators
- rule learning
- locally weighted
- bayesian classifiers
- support vector machine
- pairwise
- averaged one dependence estimators
- information retrieval