Unlocking the potential of Naive Bayes for spatio temporal classification: a novel approach to feature expansion.
Sri Suryani PrasetiyowatiYuliant SibaroniPublished in: J. Big Data (2024)
Keyphrases
- naive bayes
- classification accuracy
- decision trees
- text classification
- naive bayes classifier
- classification algorithm
- probabilistic classifiers
- uci datasets
- naive bayesian classifier
- text classifiers
- bayesian classifier
- cost sensitive
- augmented naive bayes
- logistic regression
- feature selection
- uci data sets
- bayesian network classifiers
- class probabilities
- combining classifiers
- probability estimation
- bayesian networks
- text categorization
- feature set
- feature vectors
- naive bayes models
- training data
- machine learning
- document classification
- training set
- probability estimates
- base classifiers
- tree augmented naive bayes
- feature subset
- conditional independence assumption
- kernel density estimators
- test instances
- naive bayes classification
- support vector
- classification models
- machine learning algorithms
- highly skewed
- feature space
- class labels
- bayesian classifiers
- independence assumption
- data mining
- attribute dependencies
- class imbalance