Mining Approximate Frequent Itemsets over Data Streams Using Window Sliding Techniques.
Younghee KimEunkyoung ParkUngmo KimPublished in: FGIT-DTA (2009)
Keyphrases
- data streams
- frequent itemsets
- sliding window
- closed frequent itemsets
- itemsets
- frequent itemset discovery
- mining algorithm
- frequent itemset mining
- mining frequent itemsets
- association rule mining
- frequent closed itemsets
- streaming data
- stream data
- data stream mining
- itemset mining
- transactional databases
- frequent patterns
- concise representation
- discovery of association rules
- stream mining
- uncertain data
- limited memory
- closed itemsets
- frequent itemsets mining
- concept drift
- constraint based mining
- previously discovered
- condensed representations
- dense datasets
- transaction databases
- mining frequent patterns
- minimum support
- emerging patterns
- finding frequent itemsets
- mining association rules
- data sets
- frequent pattern mining
- pruning strategy
- pattern growth
- discovering association rules
- interesting patterns
- transactional data
- frequent item sets
- pattern mining
- maximal frequent itemsets
- association rules
- apriori algorithm
- frequent set mining
- mining maximal frequent itemsets