Fast algorithms for mining multiple fuzzy frequent itemsets.
Jerry Chun-Wei LinTing LiPhilippe Fournier-VigerTzung-Pei HongJa-Hwung SuPublished in: FUZZ-IEEE (2016)
Keyphrases
- frequent itemsets
- frequent itemset mining
- itemsets
- itemset mining
- discovery of association rules
- transaction databases
- mining algorithm
- dense datasets
- discovering association rules
- algorithms for mining association rules
- data structure
- mining frequent itemsets
- apriori algorithm
- association rule mining
- mining frequent patterns
- association rules
- transactional databases
- frequent item sets
- fp growth
- data mining algorithms
- frequent patterns
- data streams
- frequent set mining
- mining association rules
- interesting patterns
- candidate generation
- pruning strategy
- association rule mining algorithms
- frequent closed itemsets
- concise representation
- fp tree
- sequential pattern mining
- emerging patterns
- high utility itemsets
- candidate itemsets
- data stream mining
- frequent closed
- previously discovered
- constraint programming
- closed itemsets
- data mining techniques
- pattern mining
- traversal patterns
- knowledge discovery
- frequent itemsets mining
- frequent pattern mining
- pattern growth
- uncertain data