An effective hashtable-based approach for incrementally mining closed frequent itemsets using sliding windows.
M. Jeya SuthaF. Ramesh DhanaseelanPublished in: Int. J. Data Min. Model. Manag. (2016)
Keyphrases
- closed frequent itemsets
- sliding window
- data streams
- high speed data streams
- frequent itemsets
- fixed size
- window size
- space efficient
- limited memory
- itemsets
- mining data streams
- streaming data
- window sizes
- variable size
- walsh hadamard transform
- stream data
- real time
- frequent item sets
- mining frequent itemsets
- stream mining
- concept drift
- mining algorithm
- change detection
- association rules
- association rule mining