EAFIM: efficient apriori-based frequent itemset mining algorithm on Spark for big transactional data.
Shashi RajDharavath RameshM. SreenuKrishan Kumar SethiPublished in: Knowl. Inf. Syst. (2020)
Keyphrases
- mining algorithm
- frequent itemsets
- transactional data
- itemsets
- transactional databases
- association rules
- pruning strategy
- association rule mining
- frequent patterns
- data streams
- pattern mining
- frequent itemset mining
- discovering frequent
- minimum support
- frequent pattern mining
- data mining algorithms
- transaction databases
- fp growth
- closed itemsets
- sequential patterns
- sequential pattern mining
- mining frequent itemsets
- negative association rules
- apriori algorithm
- incremental mining
- mining frequent
- tree structure
- frequent item sets
- itemset mining
- data structure
- interesting patterns
- high utility itemsets
- fp tree
- association rules mining
- emerging patterns
- database
- pattern discovery
- uncertain data
- incremental updating
- data mining