Adapted ensemble classification algorithm based on multiple classifier system and feature selection for classifying multi-class imbalanced data.
Yijing LiHaixiang GuoXiao LiuYanan LiJinling LiPublished in: Knowl. Based Syst. (2016)
Keyphrases
- classification algorithm
- feature selection
- class imbalanced data
- multiple classifier systems
- naive bayes
- classifier ensemble
- support vector machine
- knn
- majority voting
- classification accuracy
- base classifiers
- k nearest neighbor
- classifier fusion
- machine learning
- text categorization
- accurate classification
- multi class
- ensemble classifier
- concept drift
- class labels
- training set
- text classification
- classifier combination
- feature set
- decision trees
- support vector
- ensemble methods
- feature space
- nearest neighbor
- classification systems
- ensemble learning
- learning algorithm
- neural network
- feature subset
- support vector machine svm
- clustering algorithm
- generalization ability
- texture classification
- natural language
- data sets
- pattern recognition
- machine learning methods
- multi label
- feature extraction
- small number