Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network.
Yang HangSimon FongRaymond K. WongGuangmin SunPublished in: Int. J. Distributed Sens. Networks (2013)
Keyphrases
- bayes classifiers
- decision trees
- bayes classifier
- bayesian classifiers
- multi class
- imbalanced datasets
- classification models
- naive bayes
- binary classification problems
- wireless sensor networks
- bayesian classifier
- feature selection
- classification trees
- support vector machine
- single class
- machine learning
- predictive accuracy
- classification accuracy
- logistic regression
- training set
- ensemble methods
- tree augmented
- class labels
- machine learning algorithms
- decision tree learning
- multi class problems
- supervised classification
- decision tree algorithm
- text classification
- multivariate decision trees
- multiple classes
- bayesian network classifiers
- multiclass classification
- base learners
- probability estimation
- nearest neighbour
- intra class
- multi class classification
- decision rules
- supervised learning
- training data