Interestingness of frequent itemsets using Bayesian networks as background knowledge.
Szymon JaroszewiczDan A. SimoviciPublished in: KDD (2004)
Keyphrases
- background knowledge
- frequent itemsets
- bayesian networks
- itemsets
- association rules
- frequent itemset mining
- domain knowledge
- condensed representations
- association rule mining
- inductive logic programming
- mining algorithm
- mining frequent itemsets
- data streams
- frequent itemsets mining
- logic programs
- prior knowledge
- data structure
- itemset mining
- semantic information
- frequent patterns
- discovered patterns
- frequent pattern mining
- interesting patterns
- labeled data
- natural language processing
- uncertain data
- knowledge base
- active learning
- real world