A Robust AUC Maximization Framework With Simultaneous Outlier Detection and Feature Selection for Positive-Unlabeled Classification.
Ke RenHaichuan YangYu ZhaoWu ChenMingshan XueHongyu MiaoShuai HuangJi LiuPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- outlier detection
- feature selection
- classification accuracy
- text classification
- model selection
- support vector
- machine learning
- unsupervised learning
- feature extraction
- decision trees
- support vector machine
- feature set
- feature space
- density estimation
- supervised learning
- credit card fraud detection
- training set
- detecting outliers
- probability estimation
- knowledge discovery
- detection algorithm
- class labels
- fraud detection
- training samples
- naive bayes
- real world
- high dimensionality
- feature subset
- text categorization
- leave one out cross validation
- data streams