Approximation to Expected Support of Frequent Itemsets in Mining Probabilistic Sets of Uncertain Data.
Alfredo CuzzocreaCarson K. LeungRichard Kyle MacKinnonPublished in: KES (2015)
Keyphrases
- uncertain data
- frequent itemsets
- mining frequent itemsets
- itemsets
- uncertain databases
- frequent itemset mining
- frequent patterns
- condensed representations
- mining algorithm
- association rule mining
- data streams
- mining frequent patterns
- association rules
- transaction databases
- probabilistic databases
- probabilistic xml
- closed frequent itemsets
- uncertain data streams
- discovery of association rules
- transactional databases
- mining association rules
- frequent itemsets mining
- data structure
- concise representation
- closed itemsets
- pattern mining
- knowledge discovery
- itemset mining
- inductive databases
- frequent pattern mining
- frequent closed itemsets
- generalized association rules
- frequent set mining
- pattern growth
- apriori algorithm
- fp tree
- minimum support
- tree structure
- data mining
- data sets
- anti monotone
- pruning strategy
- multi dimensional
- database