Naive Bayes classification algorithm based on small sample set.
Yuguang HuangLei LiPublished in: CCIS (2011)
Keyphrases
- classification algorithm
- naive bayes
- sample set
- decision trees
- training data
- classification accuracy
- logistic regression
- text classification
- document classification
- text categorization
- naive bayes classifier
- feature space
- bayesian networks
- training samples
- feature selection
- classification rules
- training set
- probability estimation
- cost sensitive
- accurate classification
- conditional independence assumption
- concept drift
- class probabilities
- bayesian classifier
- probability estimates
- small number
- attribute dependencies
- machine learning
- augmented naive bayes
- test instances
- learning algorithm
- bayesian network classifiers
- co training
- k nearest neighbor
- knowledge representation
- natural language