Sample imbalance disease classification model based on association rule feature selection.
Chenxi HuangXin HuangYu FangJianfeng XuYi QuPengjun ZhaiLin FanHua YinYilu XuJiahang LiPublished in: Pattern Recognit. Lett. (2020)
Keyphrases
- feature selection
- small sample
- classification accuracy
- feature extraction
- feature space
- feature set
- classification models
- support vector
- text classification
- association rules
- support vector machine
- class imbalance
- machine learning
- text categorization
- pattern recognition
- image classification
- classification performances
- high dimensionality
- method for feature selection
- multi class
- dna microarray
- decision trees
- feature selection algorithms
- discriminative features
- selected features
- feature reduction
- class separability
- imbalanced data
- active learning
- feature ranking
- fold cross validation
- supervised learning
- feature subset
- rule sets
- unsupervised learning
- automatic relevance determination
- classification method
- classification algorithm
- feature selection and classification
- wrapper feature selection
- redundant features
- training samples
- imbalanced datasets
- irrelevant features
- rule discovery
- ensemble classifier
- dimensionality reduction
- classification rules
- association rule mining