PE_DIM: An Efficient Probabilistic Ensemble Classification Algorithm for Diabetes Handling Class Imbalance Missing Values.
Liyan JiaZhiping WangSiqi LvZhaohui XuPublished in: IEEE Access (2022)
Keyphrases
- classification algorithm
- missing values
- class imbalance
- concept drift
- cost sensitive learning
- training set
- class distribution
- ensemble learning
- classifier ensemble
- missing data
- active learning
- knn
- k nearest neighbor
- class labels
- cost sensitive
- support vector machine
- base learners
- learning algorithm
- feature selection
- naive bayes
- high dimensional data
- nearest neighbor
- probability estimation
- data sets
- test set
- base classifiers
- classification rules
- high dimensionality
- training data
- probabilistic model
- ensemble methods
- misclassification costs
- data streams
- bayesian networks
- clustering algorithm
- image processing
- test data
- dimensionality reduction
- reinforcement learning
- feature space
- decision trees
- multi class
- non stationary
- text classification