Mining probabilistic generalized frequent itemsets in uncertain databases.
Erich A. PetersonPeiyi TangPublished in: ACM Southeast Regional Conference (2013)
Keyphrases
- uncertain databases
- frequent itemsets
- frequent itemset mining
- uncertain data
- itemsets
- mining frequent itemsets
- mining frequent patterns
- generalized association rules
- mining algorithm
- itemset mining
- association rule mining
- association rules
- frequent patterns
- data streams
- pattern growth
- transactional databases
- frequent pattern mining
- pattern mining
- apriori algorithm
- closed itemsets
- concise representation
- transaction databases
- mining association rules
- mining frequent
- closed frequent itemsets
- data structure
- discovery of association rules
- minimum support
- interestingness measures
- condensed representations
- pruning strategy
- sequential pattern mining
- interesting patterns
- frequent itemsets mining
- maximal frequent itemsets
- candidate generation
- transaction data
- data mining
- frequent closed itemsets
- fp tree
- anti monotone
- xml documents
- website
- machine learning