Scalable Kernel Density Estimation-based Local Outlier Detection over Large Data Streams.
Xiao QinLei CaoElke A. RundensteinerSamuel MaddenPublished in: EDBT (2019)
Keyphrases
- knn
- outlier detection
- kernel density estimation
- data streams
- density estimation
- detecting outliers
- density function
- mean shift
- probability density
- probability density function
- object segmentation
- concept drift
- data sets
- knowledge discovery
- detect outliers
- detection algorithm
- data mining
- real world
- expectation maximization
- least squares
- feature space
- higher dimensional
- information retrieval
- density estimates