Mining weighted-frequent-regular itemsets from transactional database.
Kittipa KlangwisanKomate AmphawanPublished in: KST (2017)
Keyphrases
- transactional databases
- itemsets
- frequent patterns
- pattern growth
- frequent itemsets
- downward closure property
- minimum support
- efficient discovery
- frequent itemset mining
- mining algorithm
- frequent sets
- pattern mining
- association rules
- frequent pattern mining
- closed patterns
- transaction databases
- mining frequent patterns
- association rule mining
- maximal frequent
- data structure
- sequential pattern mining algorithm
- maximal frequent itemsets
- itemset mining
- emerging patterns
- frequent item sets
- mining frequent
- fp tree
- interesting patterns
- data streams
- mining association rules
- mining frequent itemsets
- discovering frequent
- transactional data
- sequential pattern mining
- tree structure
- apriori algorithm
- condensed representations
- frequent sequences
- data mining algorithms
- high utility itemsets
- sequential patterns
- high utility
- closed itemsets
- candidate generation
- association rules mining
- interestingness measures
- data sets
- web server
- pruning strategy
- website