Efficient Mining of Fuzzy Frequent Itemsets with Type-2 Membership Functions.
Jerry Chun-Wei LinXianbiao LvPhilippe Fournier-VigerTsu-Yang WuTzung-Pei HongPublished in: ACIIDS (2) (2016)
Keyphrases
- membership functions
- frequent itemsets
- itemsets
- fuzzy sets
- mining algorithm
- fuzzy association rules
- fuzzy rules
- frequent itemset mining
- fuzzy logic
- association rules
- association rule mining
- pruning strategy
- fuzzy membership functions
- fuzzy model
- mining frequent itemsets
- fuzzy neural network
- fuzzy clustering
- frequent patterns
- fuzzy inference
- mining of frequent itemsets
- closed frequent itemsets
- itemset mining
- takagi sugeno kang
- data streams
- fuzzy partition
- fuzzy reasoning
- discovery of association rules
- mining association rules
- takagi sugeno
- fuzzy controller
- information granulation
- transaction databases
- data structure
- frequent closed itemsets
- concise representation
- transactional databases
- rule base
- minimum support
- fuzzy inference system
- interesting patterns
- association rules mining
- information granules
- frequent itemsets mining
- fuzzy partitions
- closed itemsets
- apriori algorithm
- frequent item sets
- frequent pattern mining
- rule sets
- generalized association rules
- neuro fuzzy
- data mining algorithms
- dense datasets
- condensed representations
- fuzzy control
- fuzzy set theory
- classification rules
- fp tree
- discovering association rules
- fuzzy numbers
- data sets
- pattern recognition
- data mining techniques
- fuzzy systems
- rule mining
- anti monotone
- pattern mining
- t norm