Mining high on-shelf utility itemsets with negative values from dynamic updated database.
Anjali N. RadkarS. S. PawarPublished in: CoRR (2015)
Keyphrases
- itemsets
- high utility
- minimum support threshold
- frequent itemsets
- transactional databases
- itemset mining
- database
- high utility itemsets
- mining algorithm
- transaction databases
- pattern mining
- association rule mining
- mining association rules
- association rules
- emerging patterns
- frequent patterns
- candidate itemsets
- frequent pattern mining
- frequent item sets
- sequential pattern mining
- discovering association rules
- closed item sets
- minimum support
- anti monotone
- frequent itemset mining
- mining high utility itemsets
- data structure
- data mining algorithms
- data streams
- frequent closed itemsets
- algorithms for mining association rules
- association patterns
- fp tree
- apriori algorithm
- mining frequent itemsets
- incremental mining
- closed patterns
- interesting itemsets
- interesting patterns
- frequent sets
- interesting association rules
- sequential patterns
- condensed representations
- transaction data
- sequential pattern mining algorithm
- maximal frequent itemsets
- traversal patterns
- interestingness measures
- constraint programming
- closed frequent itemsets
- knowledge discovery
- data mining
- data sets
- attribute values
- closed itemsets