Hiding association rules based on relative-non-sensitive frequent itemsets.
Xueming LiZhijun LiuChuan ZuoPublished in: IEEE ICCI (2009)
Keyphrases
- frequent itemsets
- association rules
- itemsets
- association rule mining
- frequent itemset mining
- mining algorithm
- mining frequent itemsets
- mining association rules
- minimum support
- data streams
- apriori algorithm
- discovery of association rules
- data mining
- concise representation
- frequent patterns
- knowledge discovery
- frequent itemsets mining
- association mining
- transaction data
- itemset mining
- closed itemsets
- frequent pattern mining
- association rule discovery
- emerging patterns
- discovering association rules
- transactional databases
- interesting patterns
- condensed representations
- association rules mining
- association rule mining algorithms
- closed frequent itemsets
- interesting association rules
- infrequent itemsets
- frequent itemset discovery
- fp tree
- frequent item sets
- pruning strategy
- formal concept analysis
- uncertain data
- frequent closed itemsets
- fp growth
- mining frequent patterns
- dense datasets
- associative classification
- deduction rules
- previously discovered
- algorithm for mining association rules
- frequent set mining
- rule sets