A novel approach for mining probabilistic frequent itemsets over uncertain data streams.
Tianlai LiFang'ai LiuXinhua WangPublished in: Int. J. Appl. Decis. Sci. (2018)
Keyphrases
- uncertain data streams
- frequent itemsets
- uncertain data
- mining frequent itemsets
- data streams
- itemsets
- closed frequent itemsets
- mining algorithm
- space efficient
- frequent itemset mining
- association rule mining
- association rules
- frequent patterns
- mining frequent patterns
- data structure
- transaction databases
- closed itemsets
- concise representation
- itemset mining
- mining association rules
- transactional databases
- sliding window
- frequent set mining
- constraint based mining
- discovery of association rules
- frequent closed itemsets
- emerging patterns
- pattern growth
- frequent itemsets mining
- fp tree
- mining of frequent itemsets
- condensed representations
- pruning strategy
- knowledge discovery
- maximal frequent itemsets
- transactional data
- frequent item sets
- discovering association rules
- frequent closed
- minimum support
- generalized association rules
- prefix tree
- apriori algorithm
- frequent pattern mining
- mining maximal frequent itemsets
- frequent itemset discovery