Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers.
Zhenyuan WangChih-Fong TsaiWei-Chao LinPublished in: Data Technol. Appl. (2021)
Keyphrases
- missing values
- data cleaning
- cost sensitive learning
- instance selection
- minority class
- class imbalance
- missing data
- text classification
- high dimensional data
- nearest neighbor
- sampling methods
- semi supervised learning
- multi class
- concept drift
- data sets
- classification accuracy
- neural network
- high dimensionality
- labeled data
- database
- supervised learning
- semi supervised
- pattern recognition
- active learning
- decision trees
- machine learning
- databases