Research on data imbalance classification based on oversampling method.
Yuzhu BaiWei YuHaiwen FengPublished in: CAIBDA (2022)
Keyphrases
- synthetic data
- input data
- noisy data
- training samples
- data sets
- preprocessing
- classification method
- test data
- decision rules
- support vector machine
- support vector machine svm
- classification accuracy
- pattern classification
- classification process
- ordinal data
- data distribution
- cross validation
- classification trees
- missing data
- data analysis
- feature selection
- input vectors
- dimensionality reduction methods
- similarity measure
- classification rate
- classification scheme
- clustering method
- machine learning methods
- data sources
- nearest neighbor
- feature set
- data mining techniques
- missing values
- original data
- pairwise
- support vector
- extracted features
- class imbalance
- probabilistic model
- feature extraction
- sampling methods
- supervised learning