Bayesian Mixture Models for Frequent Itemset Discovery
Ruefei HeJonathan ShapiroPublished in: CoRR (2012)
Keyphrases
- mixture model
- frequent itemset discovery
- maximum likelihood
- dirichlet prior
- probabilistic model
- gaussian mixture model
- em algorithm
- generative model
- expectation maximization
- posterior probability
- generalized em algorithm
- variational inference
- bayesian inference
- density estimation
- model selection
- frequent itemsets
- unsupervised learning
- probability density function
- bayesian networks
- data mining
- mixture modeling
- exponential family
- model based clustering
- language model
- gaussian mixture
- dirichlet process
- finite mixtures
- posterior distribution
- bayesian model
- prior distribution
- automatic model selection
- data structure