Mining non-derivable frequent itemsets over data stream.
Haifeng LiHong ChenPublished in: Data Knowl. Eng. (2009)
Keyphrases
- frequent itemsets
- data streams
- closed frequent itemsets
- itemsets
- frequent itemset mining
- mining frequent itemsets
- frequent closed itemsets
- mining algorithm
- association rule mining
- transactional databases
- association rules
- closed itemsets
- itemset mining
- sliding window
- constraint based mining
- frequent patterns
- concise representation
- mining frequent patterns
- anti monotone
- frequent itemsets mining
- mining of frequent itemsets
- stream mining
- data structure
- emerging patterns
- transaction databases
- frequent item sets
- data stream mining
- maximal frequent itemsets
- interesting patterns
- frequent set mining
- mining association rules
- frequent pattern mining
- minimum support
- sequential patterns
- transactional data
- discovery of association rules
- mining maximal frequent itemsets
- pattern mining
- space efficient
- generalized association rules
- outlier detection
- transaction data
- dense datasets
- frequent closed
- uncertain data
- concept drift
- streaming data
- stream data
- condensed representations
- apriori algorithm
- pruning strategy
- mining frequent
- prefix tree
- previously discovered
- association rules mining
- fp tree