A novel associative classification model based on a fuzzy frequent pattern mining algorithm.
Michela AntonelliPietro DucangeFrancesco MarcelloniArmando SegatoriPublished in: Expert Syst. Appl. (2015)
Keyphrases
- mining algorithm
- associative classification
- minimum support
- frequent patterns
- association rules
- association rule mining
- associative classifiers
- frequent pattern mining
- itemsets
- pattern mining
- frequent itemsets
- fp growth
- mining frequent patterns
- discovering frequent
- tree structure
- fuzzy sets
- association rules mining
- sequential patterns
- mining frequent
- frequent item sets
- sequential pattern mining
- pattern growth
- pruning strategy
- membership functions
- data structure
- transactional databases
- emerging patterns
- frequent pattern mining algorithms
- data mining
- highly competitive
- mining association rules
- classification rules
- rule extraction
- apriori algorithm
- frequent pattern tree
- data mining algorithms
- fp tree
- rule mining
- frequent itemset mining
- itemset mining
- data mining techniques
- privacy preservation
- interestingness measures
- database
- genetic programming
- query processing
- relational databases
- real world
- databases