An Efficient Rigorous Approach for Identifying Statistically Significant Frequent Itemsets
Adam KirschMichael MitzenmacherAndrea PietracaprinaGeppino PucciEli UpfalFabio VandinPublished in: CoRR (2010)
Keyphrases
- statistically significant
- frequent itemsets
- itemsets
- frequent itemset mining
- association rule mining
- association rules
- data streams
- mining frequent itemsets
- statistical significance
- attitudes toward
- mining algorithm
- concise representation
- learning styles
- transactional databases
- discovery of association rules
- control group
- itemset mining
- frequent itemsets mining
- interesting patterns
- closed itemsets
- mining association rules
- pruning strategy
- condensed representations
- transaction databases
- pearson correlation
- frequent itemset discovery
- uncertain data
- frequent patterns
- statistical tests
- data structure
- frequent pattern mining
- prefix tree
- closed frequent itemsets
- minimum support
- frequent set mining
- deduction rules
- data mining
- knowledge discovery
- data mining techniques
- dense datasets
- multiple regression analysis
- frequent closed itemsets
- logic programs
- pattern mining