An Empirical Study on the Joint Impact of Feature Selection and Data Re-sampling on Imbalance Classification.
Chongsheng ZhangPaolo SodaJingjun BiGaojuan FanGeorge AlmpanidisSalvador GarciaPublished in: CoRR (2021)
Keyphrases
- feature selection
- data sets
- data analysis
- database
- sampling methods
- decision trees
- data reduction
- data collection
- feature set
- data points
- support vector machine
- high dimensionality
- high dimensional data
- data sources
- training data
- classification accuracy
- data mining techniques
- image classification
- feature space
- unsupervised learning
- data structure
- class imbalance
- feature extraction
- discriminative features
- machine learning
- irrelevant features
- highly skewed