A novel Bayesian Network structure learning algorithm based on minimal correlated itemset mining techniques.
Zahra KebailiAlex AussemPublished in: ICDIM (2007)
Keyphrases
- itemset mining
- bayesian network structure
- learning algorithm
- bayesian networks
- bayesian network structures
- itemsets
- learning bayesian networks
- conditional independence
- directed acyclic graph
- graph mining
- frequent itemsets
- search space
- sequential pattern mining
- frequent itemset mining
- conditional probabilities
- constraint programming
- training data
- pattern mining
- data mining problems
- machine learning
- markov blanket
- equivalence classes
- scoring function
- active learning
- random variables
- data structure
- statistical data
- interesting patterns
- probabilistic model
- incomplete data
- training examples
- image segmentation
- association rule mining
- structure learning
- association rules
- data streams
- data mining techniques
- bayesian network classifiers
- labeled data
- reinforcement learning
- data sets