Efficient algorithm for mining high average-utility itemsets in incremental transaction databases.
Donggyu KimUnil YunPublished in: Appl. Intell. (2017)
Keyphrases
- itemsets
- frequent itemset mining
- transaction databases
- high utility
- frequent item sets
- frequent itemsets
- pruning strategy
- sequential pattern mining algorithm
- mining algorithm
- apriori algorithm
- pattern mining
- itemset mining
- frequent pattern mining
- frequent patterns
- sequential patterns
- mining of frequent itemsets
- mining frequent itemsets
- algorithms for mining association rules
- mining high utility itemsets
- fp growth algorithm
- association rule mining
- high utility itemsets
- closed item sets
- association rules
- maximal frequent itemsets
- fp tree
- pattern growth
- sequential pattern mining
- mining association rules
- incremental updating
- data streams
- preprocessing
- frequent closed itemsets
- data structure
- uncertain data
- data sets
- closed patterns
- closed itemsets
- transactional databases
- candidate generation
- frequent sequences
- minimum support
- emerging patterns
- frequent sets
- data mining algorithms
- data mining