MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection.
Zhengchao JiangFan ZhangHao XuLi TaoZili ZhangPublished in: KSEM (3) (2022)
Keyphrases
- multistage
- outlier detection
- rank aggregation
- single stage
- fraud detection
- knowledge discovery
- ensemble learning
- credit card fraud detection
- density estimation
- detecting outliers
- detection algorithm
- density ratio estimation
- data streams
- dynamic programming
- web search
- detect outliers
- search engine
- base classifiers
- optimal policy
- training data
- real world
- sufficient conditions
- high dimensional
- reinforcement learning
- feature selection
- spatial outliers
- data mining