Integrating TANBN with cost sensitive classification algorithm for imbalanced data in medical diagnosis.
Dan GanJiang ShenBang AnMan XuNa LiuPublished in: Comput. Ind. Eng. (2020)
Keyphrases
- medical diagnosis
- classification algorithm
- cost sensitive
- imbalanced data
- class distribution
- support vector machine
- naive bayes
- class imbalance
- misclassification costs
- multi class
- decision trees
- base classifiers
- feature selection
- cost sensitive learning
- binary classification
- training set
- k nearest neighbor
- base learners
- concept drift
- classification accuracy
- text classification
- class labels
- classification rules
- probability estimation
- training data
- svm classifier
- knn
- text categorization
- active learning
- machine learning
- support vector machine svm
- data sets
- feature space
- support vector
- ensemble methods
- learning algorithm
- decision boundary
- ensemble learning
- clustering algorithm
- ensemble classifier
- small number
- feature vectors