Feature selection for high dimensional imbalanced class data based on F-measure optimization.
Chunkai ZhangGuoquan WangYing ZhouLin YaoZoe Lin JiangQing LiaoXuan WangPublished in: SPAC (2017)
Keyphrases
- data sets
- feature selection
- training data
- raw data
- data analysis
- high dimensional data
- high dimensional
- database
- data distribution
- knowledge discovery
- original data
- data sources
- sparse data
- input space
- training dataset
- data collection
- optimization problems
- mutual information
- dimensionality reduction
- multi class
- data points
- data mining techniques
- input data
- training samples
- kernel function
- high dimensionality
- support vector machine
- noisy data
- evolutionary algorithm
- feature extraction
- data mining
- multiple classes