AnyFI: An anytime frequent itemset mining algorithm for data streams.
Poonam GoyalJagat Sesh ChallaShivin ShrivastavaNavneet GoyalPublished in: IEEE BigData (2017)
Keyphrases
- mining algorithm
- frequent itemsets
- data streams
- itemsets
- association rule mining
- sliding window
- frequent itemset mining
- mining frequent itemsets
- frequent patterns
- minimum support
- frequent itemsets mining
- discovering frequent
- streaming data
- concept drift
- itemset mining
- transactional databases
- incremental mining
- data sets
- closed itemsets
- stream data
- pruning strategy
- uncertain data
- closed frequent itemsets
- negative association rules
- frequent closed itemsets
- frequent item sets
- data stream mining
- incremental updating
- frequent pattern mining
- mining association rules
- sequential pattern mining
- mining frequent patterns
- pattern mining
- minimum support threshold
- mining frequent
- maximal frequent itemsets
- candidate generation
- transaction databases
- tree mining
- high utility itemsets
- transaction data
- frequent pattern tree
- emerging patterns
- tree structure
- association rules
- databases