A Novelty Detection Method Based on Frequent Itemsets.
Siyamand AyubiAhmad Baraani-DastjerdiAmir Hassan MonadjemiMaybin K. MuyebaPublished in: MLDM Posters (2007)
Keyphrases
- detection method
- frequent itemsets
- itemsets
- association rules
- frequent itemset mining
- association rule mining
- mining algorithm
- detection algorithm
- data streams
- face detection
- novelty detection
- mining frequent itemsets
- data structure
- itemset mining
- frequent patterns
- transactional databases
- discovery of association rules
- constraint based mining
- concise representation
- pruning strategy
- mining association rules
- frequent set mining
- closed itemsets
- data mining
- discovering association rules
- support vector data description
- dense datasets
- frequent closed itemsets
- prefix tree
- minimum support
- transaction databases
- mining frequent patterns
- frequent pattern mining
- anti monotone
- condensed representations
- fp tree
- closed frequent itemsets
- apriori algorithm
- sequential pattern mining
- interesting patterns
- uncertain data
- frequent itemset discovery