Relational Frequent Patterns Mining for Novelty Detection from Data Streams.
Michelangelo CeciAnnalisa AppiceCorrado LoglisciCostantina CarusoFabio FumarolaCarmine ValenteDonato MalerbaPublished in: MLDM (2009)
Keyphrases
- frequent patterns
- novelty detection
- data streams
- concept drift
- itemsets
- frequent itemsets
- frequent pattern mining
- mining algorithm
- mining frequent patterns
- pattern mining
- sequential patterns
- interesting patterns
- streaming data
- mining frequent
- transactional databases
- anomaly detection
- tree structure
- data stream mining
- transaction databases
- maximal frequent
- discovery of frequent patterns
- data structure
- sliding window
- apriori algorithm
- pattern growth
- mining frequent itemsets
- closed patterns
- association rule mining
- sequential pattern mining
- fp tree
- frequent itemset mining
- minimum support
- uncertain data
- discovering frequent
- data model
- association rules
- candidate generation
- relational databases
- stream data
- relational data
- frequent pattern mining algorithms
- data sets
- itemset mining
- multi dimensional
- emerging patterns
- non stationary
- classification algorithm
- maximal frequent itemsets
- frequent item sets
- huge number
- incremental mining
- data mining algorithms
- decision trees
- data distribution
- change detection