Mining opened frequent itemsets to generate maximal Boolean association rules.
Baoqing JiangChong HanLingsheng LiPublished in: GrC (2009)
Keyphrases
- frequent itemsets
- association rules
- itemsets
- association rule mining
- mining algorithm
- frequent itemset mining
- mining frequent itemsets
- mining association rules
- frequent patterns
- discovery of association rules
- closed frequent itemsets
- transactional databases
- apriori algorithm
- data streams
- association mining
- knowledge discovery
- closed itemsets
- emerging patterns
- discovering association rules
- concise representation
- data mining
- minimum support
- itemset mining
- data mining techniques
- constraint based mining
- transaction databases
- interesting patterns
- frequent itemsets mining
- transaction data
- association rule discovery
- data structure
- associative classification
- association rules mining
- frequent pattern mining
- mining frequent patterns
- prefix tree
- frequent set mining
- fp growth
- frequent itemset discovery
- pattern mining
- uncertain data
- pruning strategy
- frequent sets
- algorithm for mining association rules
- infrequent itemsets
- previously discovered
- association rule mining algorithms
- closed sets
- fp tree
- frequent closed itemsets
- rule mining
- pattern discovery
- interesting association rules
- association patterns
- pattern growth
- classification rules
- real world