A Sliding Window Algorithm for Relational Frequent Patterns Mining from Data Streams.
Fabio FumarolaAnna CiampiAnnalisa AppiceDonato MalerbaPublished in: Discovery Science (2009)
Keyphrases
- sliding window
- data streams
- frequent item sets
- frequent patterns
- apriori algorithm
- closed frequent itemsets
- high speed data streams
- itemsets
- mining algorithm
- frequent itemsets
- frequent pattern mining
- pattern growth
- fixed size
- sequential patterns
- mining frequent itemsets
- discovering frequent
- pattern mining
- window size
- candidate generation
- stream data
- frequent sequences
- finding frequent patterns
- data sets
- interesting patterns
- data structure
- sequential pattern mining
- maximal frequent
- mining frequent patterns
- association rules
- tree structure
- frequent itemset mining
- mining maximal frequent itemsets
- fp tree
- association rules mining
- frequent pattern mining algorithms
- uncertain data
- streaming data
- closed itemsets
- database
- data mining
- prefix tree
- preprocessing
- transaction databases
- fp growth
- minimum support
- concept drift
- data stream mining
- pattern matching
- association rule mining
- relational data
- classification algorithm