Cost-Sensitive Feature Selection using Particle Swarm Optimization: A Post-Processing Approach.
Syed Imran AliWajahat Ali KhanSungyoung LeeSang-Ho LeePublished in: ICOIN (2020)
Keyphrases
- post processing
- cost sensitive
- feature selection
- multi class
- naive bayes
- misclassification costs
- class imbalance
- cost sensitive learning
- support vector machine
- cost sensitive classification
- preprocessing
- class distribution
- text categorization
- fraud detection
- classification accuracy
- active learning
- binary classification
- support vector
- high dimensionality
- text classification
- feature extraction
- feature subset
- machine learning
- feature space
- feature set
- pairwise
- multi label
- model selection
- decision trees
- k nearest neighbor
- classification models
- bayesian networks
- dimensionality reduction
- high dimensional
- data preprocessing
- data mining process
- knn