Dual-MGAN: An Efficient Approach for Semi-supervised Outlier Detection with Few Identified Anomalies.
Zhe LiChunhua SunChunli LiuXiayu ChenMeng WangYezheng LiuPublished in: ACM Trans. Knowl. Discov. Data (2022)
Keyphrases
- outlier detection
- semi supervised
- data cleaning
- fraud detection
- data streams
- detection algorithm
- anomaly detection
- knowledge discovery
- density ratio estimation
- high dimensional datasets
- semi supervised learning
- credit card fraud detection
- detecting outliers
- unlabeled data
- supervised learning
- unsupervised learning
- density estimation
- active learning
- pairwise
- density based clustering
- data mining
- labeled data
- outlier mining
- database
- multiple instance learning
- co training
- domain adaptation
- real world
- learning problems
- detect outliers
- machine learning
- high dimensional
- dimensionality reduction