Sliding Window-Based High Utility Item-Sets Mining Over Data Stream Using Extended Global Utility Item-Sets Tree.
Pandillapalli Amaranatha ReddyM. H. M. Krishna PrasadPublished in: Int. J. Softw. Innov. (2022)
Keyphrases
- itemsets
- data streams
- sliding window
- frequent itemsets
- mining algorithm
- high utility
- frequent item sets
- frequent patterns
- association rule mining
- itemset mining
- pattern mining
- mining association rules
- tree structure
- mining of frequent itemsets
- frequent closed itemsets
- transactional databases
- emerging patterns
- frequent itemset mining
- mining frequent itemsets
- frequent pattern mining
- fp tree
- pruning strategy
- association rules
- maximal frequent
- transactional data
- apriori algorithm
- minimum support
- maximal frequent itemsets
- outlier detection
- data structure
- data mining algorithms
- transaction databases
- data stream mining
- stream data
- transaction data
- interesting patterns
- streaming data
- concept drift
- frequent sets
- association rules mining
- closed patterns
- association mining
- uncertain data
- formal concept analysis
- closed itemsets
- market basket data
- tree mining
- anti monotone
- data sets
- pattern discovery
- interestingness measures