Mining frequent items and itemsets from distributed data streams for emergency detection and management.
Albino AltomareEugenio CesarioDomenico TaliaPublished in: J. Ambient Intell. Humaniz. Comput. (2017)
Keyphrases
- itemsets
- distributed data streams
- data streams
- frequent itemsets
- mining algorithm
- mining association rules
- frequent itemset mining
- association rule mining
- frequent item sets
- itemset mining
- minimum support
- pattern mining
- emerging patterns
- mining frequent itemsets
- association rules
- sliding window
- transactional databases
- data mining algorithms
- frequent pattern mining
- data structure
- frequent patterns
- apriori algorithm
- high utility itemsets
- closed patterns
- interesting association rules
- detecting outliers
- maximal frequent itemsets
- interesting patterns
- transaction data
- outlier detection
- detection algorithm
- closed frequent itemsets
- transaction databases
- algorithms for mining association rules
- uncertain data
- frequent closed itemsets
- closed itemsets
- data stream mining
- frequent sets
- association patterns
- data sets
- interesting itemsets
- concise representation
- mining frequent patterns
- discovering association rules
- minimum support threshold
- mining of frequent itemsets