Mining Temporal Fuzzy Utility Itemsets by Tree Structure.
Tzung-Pei HongCheng-Yu LinWei-Ming HuangShu-Min LiShyue-Liang WangJerry Chun-Wei LinPublished in: IEEE BigData (2019)
Keyphrases
- tree structure
- itemsets
- frequent patterns
- mining algorithm
- data structure
- frequent itemsets
- high utility
- frequent pattern mining
- pattern mining
- fuzzy association rules
- association rule mining
- high utility itemsets
- mining association rules
- frequent itemset mining
- transactional databases
- minimum support
- association rules
- itemset mining
- mining frequent itemsets
- emerging patterns
- sequential patterns
- sequential pattern mining
- mining frequent patterns
- interesting patterns
- frequent item sets
- pattern growth
- transaction databases
- fuzzy sets
- closed patterns
- uncertain data
- fp tree
- tree structures
- candidate patterns
- xml documents
- data streams
- apriori algorithm
- data mining algorithms
- mining frequent
- association patterns
- fp growth
- anti monotone
- mining high utility itemsets
- r tree
- candidate generation
- frequent sequences
- pruning strategy
- pattern discovery
- knowledge discovery
- databases
- interesting association rules
- interesting itemsets
- data sets
- closed itemsets
- interestingness measures