Classifying Potentially Unbounded Hierarchical Data Streams with Incremental Gaussian Naive Bayes.
Eduardo TieppoJean Paul BarddalJúlio César NievolaPublished in: BRACIS (1) (2021)
Keyphrases
- naive bayes
- data streams
- decision trees
- classification accuracy
- logistic regression
- text classification
- naive bayes classifier
- text categorization
- uci data sets
- bayesian networks
- training data
- naive bayesian classifier
- classification algorithm
- probability estimation
- uci datasets
- bayesian network classifiers
- maximum likelihood
- cost sensitive
- concept drift
- bayesian classifier
- feature selection
- data sets
- base classifiers
- independence assumption
- naive bayes classification
- text classifiers
- bayesian classifiers
- locally weighted
- averaged one dependence estimators
- augmented naive bayes
- test instances
- knn
- knowledge discovery
- training set
- probabilistic classifiers
- attribute dependencies