Ensemble based Cost-Sensitive Feature Selection for Consolidated Knowledge Base Creation.
Syed Imran AliSungyoung LeePublished in: IMCOM (2020)
Keyphrases
- cost sensitive
- feature selection
- knowledge base
- multi class
- naive bayes
- base classifiers
- support vector machine
- cost sensitive learning
- cost sensitive classification
- misclassification costs
- class distribution
- class imbalance
- binary classification
- feature ranking
- active learning
- ensemble classifier
- text classification
- text categorization
- imbalanced data
- machine learning
- feature set
- feature subset
- dimensionality reduction
- boosting algorithms
- classification accuracy
- feature extraction
- feature space
- decision trees
- ensemble methods
- model selection
- multi task
- classification algorithm
- probability estimation
- error rate
- multi class classification
- classification error
- classification models
- knn
- data points
- pairwise
- learning algorithm