A GA-based Framework for Mining High Fuzzy Utility Itemsets.
Jimmy Ming-Tai WuJerry Chun-Wei LinPhilippe Fournier-VigerTomasz WiktorskiTzung-Pei HongMatin PirouzPublished in: IEEE BigData (2019)
Keyphrases
- itemsets
- frequent itemsets
- mining algorithm
- mining association rules
- association rule mining
- frequent patterns
- association rules
- frequent itemset mining
- frequent pattern mining
- itemset mining
- pattern mining
- data structure
- pruning strategy
- apriori algorithm
- mining frequent itemsets
- emerging patterns
- interesting association rules
- high utility itemsets
- fuzzy sets
- frequent item sets
- data streams
- transactional databases
- association rule mining algorithm
- minimum support
- knowledge discovery
- high utility
- sequential pattern mining algorithm
- anti monotone
- fuzzy association rules
- transaction databases
- mining frequent patterns
- transaction data
- data mining techniques
- sequential patterns
- data sets
- constraint programming
- interesting patterns