Associating absent frequent itemsets with infrequent items to identify abnormal transactions.
Li-Jen KaoYo-Ping HuangFrode Eika SandnesPublished in: Appl. Intell. (2015)
Keyphrases
- frequent itemsets
- mining frequent itemsets
- association rules
- transaction databases
- itemsets
- transaction data
- frequent patterns
- frequent itemset discovery
- frequent itemset mining
- mining algorithm
- mining association rules
- data streams
- association rule mining
- mining of frequent itemsets
- uncertain data
- frequent pattern mining
- mining frequent patterns
- support threshold
- concise representation
- frequent itemsets mining
- database
- itemset mining
- indirect association
- association rules mining
- discovery of association rules
- condensed representations
- closed itemsets
- minimum support
- interesting patterns
- transactional databases
- closed frequent itemsets
- data mining
- frequent sets
- pattern growth
- fp tree
- frequent closed itemsets
- apriori algorithm
- sequential pattern mining
- mining frequent closed itemsets
- data structure
- data warehouse
- frequent set mining
- finding frequent itemsets
- sequential patterns
- pattern mining
- dense datasets
- discovering association rules
- maximal frequent itemsets
- previously unknown
- frequent item sets
- transactional data