A guided FP-Growth algorithm for mining multitude-targeted item-sets and class association rules in imbalanced data.
Lior ShabtayPhilippe Fournier-VigerRami YaariItai DattnerPublished in: Inf. Sci. (2021)
Keyphrases
- fp growth algorithm
- itemsets
- association rules
- frequent item sets
- imbalanced data
- apriori algorithm
- frequent item set mining
- mining association rules
- mining algorithm
- market basket analysis
- transaction databases
- frequent itemsets
- association rule mining
- association rules mining
- association mining
- frequent patterns
- frequent pattern mining
- pattern mining
- fp tree
- data mining
- itemset mining
- knowledge discovery
- data mining algorithms
- frequent itemset mining
- emerging patterns
- minimum support
- frequent sets
- transactional databases
- market basket data
- data structure
- minority class
- data mining techniques
- data mining tasks
- transaction data
- formal concept analysis
- feature selection
- mining frequent itemsets
- support vector machine
- sequential patterns
- sampling methods
- class distribution
- sequential pattern mining
- interesting patterns
- classification rules
- interestingness measures
- maximal frequent itemsets
- database
- condensed representations
- decision trees