A New Rymon Tree Based Procedure for Mining Statistically Significant Frequent Itemsets.
Predrag StanisicSavo TomovicPublished in: Int. J. Comput. Commun. Control (2010)
Keyphrases
- statistically significant
- frequent itemsets
- itemsets
- frequent itemset mining
- mining algorithm
- association rule mining
- mining frequent itemsets
- closed frequent itemsets
- association rules
- transactional databases
- control group
- learning styles
- statistical significance
- frequent patterns
- data streams
- frequent itemsets mining
- mining association rules
- concise representation
- frequent closed itemsets
- itemset mining
- discovery of association rules
- maximal frequent itemsets
- frequent pattern mining
- constraint based mining
- data structure
- minimum support
- closed itemsets
- interesting patterns
- pearson correlation
- frequent set mining
- transaction databases
- emerging patterns
- dense datasets
- discovering association rules
- condensed representations
- pattern growth
- apriori algorithm
- frequent itemset discovery
- mining frequent patterns
- generalized association rules
- data mining techniques
- sliding window
- data mining algorithms
- frequent closed
- pattern mining
- pruning strategy
- sequential patterns
- uncertain data
- multi dimensional
- mining of frequent itemsets
- transaction data