Mining top-k regular-frequent itemsets using database partitioning and support estimation.
Komate AmphawanPhilippe LencaAthasit SurarerksPublished in: Expert Syst. Appl. (2012)
Keyphrases
- frequent itemsets
- minimum support threshold
- frequent closed itemsets
- minimum support
- itemsets
- database
- frequent pattern mining
- transactional databases
- association rule mining
- mining algorithm
- discovery of association rules
- association rules
- condensed representations
- frequent itemset mining
- data streams
- transaction databases
- mining frequent itemsets
- frequent itemsets mining
- frequent patterns
- sequential patterns
- itemset mining
- mining frequent closed itemsets
- inductive databases
- discovering association rules
- database systems
- data structure
- fp tree
- mining association rules
- interesting patterns
- closed itemsets
- databases
- algorithm for mining association rules
- pattern mining
- concise representation
- uncertain data
- candidate itemsets
- constraint based mining
- data sets
- single scan
- prefix tree
- mining frequent patterns
- data model
- query language
- parallel algorithm
- frequent set mining
- pruning strategy