A time- and memory-efficient frequent itemset discovering algorithm for association rule mining.
Renata IváncsyIstván VajkPublished in: Int. J. Comput. Appl. Technol. (2006)
Keyphrases
- association rule mining
- memory efficient
- frequent itemset mining
- frequent itemsets
- association rules
- apriori algorithm
- algorithms for mining association rules
- fp growth
- association rule mining algorithm
- itemsets
- mining algorithm
- pattern growth
- association rule mining algorithms
- classification rule mining
- minimum support threshold
- data mining
- frequent itemsets mining
- frequent item sets
- subgroup discovery
- closed itemsets
- concept lattice
- mining association rules
- frequent itemset discovery
- classification algorithm
- pattern mining
- association rule discovery
- interesting patterns
- associative classifiers
- real world
- knowledge discovery
- incremental updating
- maximal frequent itemsets
- incremental mining
- transaction databases
- sequential pattern mining
- transactional databases
- mining frequent itemsets
- candidate generation
- fp tree
- databases
- minimum support