Efficient Mining of High Average-Utility Itemsets with Multiple Minimum Thresholds.
Jerry Chun-Wei LinTing LiPhilippe Fournier-VigerTzung-Pei HongJa-Hwung SuPublished in: ICDM (2016)
Keyphrases
- itemsets
- frequent itemsets
- sequential pattern mining algorithm
- mining algorithm
- minimum support threshold
- pruning strategy
- frequent itemset mining
- association rule mining
- itemset mining
- high utility
- association rules
- pattern mining
- mining association rules
- frequent patterns
- frequent item sets
- support threshold
- transactional databases
- data structure
- emerging patterns
- mining of frequent itemsets
- interesting association rules
- minimum support
- interesting patterns
- apriori algorithm
- data streams
- high utility itemsets
- anti monotone
- closed patterns
- frequent sets
- transaction databases
- closed itemsets
- sequential patterns
- frequent pattern mining
- mining frequent itemsets
- algorithms for mining association rules
- interesting itemsets
- high efficiency
- association rules mining
- transaction data
- association patterns
- frequent closed itemsets
- data mining
- web mining
- sequential pattern mining
- interestingness measures
- mining frequent patterns
- graph mining
- uncertain data
- mining frequent
- discovering association rules
- knowledge discovery
- association mining