Improving Supervised Outlier Detection by Unsupervised Representation Learning and Generative Adversarial Networks: An Extension of Extreme Gradient Boosting Outlier Detection by GANs.
Hirokazu ShimauchiPublished in: ICISS (2021)
Keyphrases
- outlier detection
- unsupervised learning
- detection algorithm
- supervised learning
- learning algorithm
- fraud detection
- data streams
- knowledge discovery
- gradient boosting
- detecting outliers
- semi supervised
- data mining
- density estimation
- detect outliers
- reinforcement learning
- data analysis
- active learning
- feature selection
- learning tasks