A novel hash-based approach for mining frequent itemsets over data streams requiring less memory space.
En Tzu WangArbee L. P. ChenPublished in: Data Min. Knowl. Discov. (2009)
Keyphrases
- mining frequent itemsets
- memory space
- data streams
- sliding window
- uncertain data
- memory requirements
- mining of frequent itemsets
- frequent itemsets
- mining frequent patterns
- external memory
- limited memory
- itemsets
- streaming data
- concept drift
- stream data
- high efficiency
- data distribution
- memory size
- sensor networks
- transaction databases
- hash functions
- mining association rules
- multi dimensional
- data sets
- small number
- data structure
- real world