Scalable Approximate Bayesian Inference for Outlier Detection under Informative Sampling.
Terrance D. SavitskyPublished in: J. Mach. Learn. Res. (2016)
Keyphrases
- outlier detection
- bayesian inference
- gibbs sampler
- expectation propagation
- parameter free
- markov chain monte carlo
- probabilistic model
- prior information
- density estimation
- detection algorithm
- fraud detection
- detecting outliers
- high dimensional datasets
- knowledge discovery
- density ratio estimation
- credit card fraud detection
- data streams
- data mining
- detect outliers
- markov random field
- prior knowledge
- outlier mining
- random sampling
- distance based outlier detection
- machine learning