Outlier Detection via Kernel Preserving Embedding and Random Walk.
Enhui LiHuawen LiuKaile SuShichao ZhangPublished in: ICKG (2020)
Keyphrases
- random walk
- outlier detection
- laplacian eigenmaps
- graph laplacian
- nodes of a graph
- markov chain
- data streams
- fraud detection
- detection algorithm
- detecting outliers
- knowledge discovery
- data mining
- density ratio estimation
- kernel function
- kernel methods
- graph embedding
- detect outliers
- density estimation
- support vector
- databases
- feature space
- transition probability matrix
- manifold learning
- kernel matrix
- machine learning
- dynamic programming
- density estimates
- outlier mining
- real world