Improved algorithm for parallel mining collaborative frequent itemsets in multiple data streams.
Fang'ai LiuQianqian WangXin WangPublished in: Clust. Comput. (2019)
Keyphrases
- improved algorithm
- frequent itemsets
- multiple data streams
- data streams
- itemsets
- continuous data streams
- mining frequent itemsets
- mining algorithm
- frequent itemset mining
- closed frequent itemsets
- association rule mining
- data stream mining
- frequent closed itemsets
- association rules
- sliding window
- transactional databases
- frequent patterns
- transaction databases
- mining association rules
- closed itemsets
- concise representation
- uncertain data
- itemset mining
- condensed representations
- emerging patterns
- frequent itemsets mining
- discovery of association rules
- streaming data
- stream data
- apriori algorithm
- mining frequent patterns
- frequent set mining
- data sets
- interesting patterns
- concept drift
- pattern mining
- change detection
- data distribution
- pattern growth
- transaction data
- limited memory
- frequent pattern mining
- generalized association rules
- data mining
- previously discovered
- mining frequent closed itemsets
- frequent itemset discovery
- database
- data mining algorithms
- dense datasets
- discovering association rules
- maximal frequent itemsets
- frequent item sets