On mining approximate and exact fault-tolerant frequent itemsets.
Shengxin LiuChung Keung PoonPublished in: Knowl. Inf. Syst. (2018)
Keyphrases
- fault tolerant
- frequent itemsets
- itemsets
- fault tolerance
- mining algorithm
- frequent itemset discovery
- frequent itemset mining
- association rule mining
- mining frequent itemsets
- association rules
- distributed systems
- data streams
- closed frequent itemsets
- transactional databases
- discovery of association rules
- frequent closed itemsets
- concise representation
- data structure
- itemset mining
- frequent patterns
- load balancing
- interesting patterns
- frequent pattern mining
- frequent itemsets mining
- constraint based mining
- condensed representations
- closed itemsets
- transaction databases
- frequent item sets
- generalized association rules
- mining frequent patterns
- mining association rules
- discovering association rules
- uncertain data
- maximal frequent itemsets
- transaction data
- frequent closed
- minimum support
- dense datasets
- emerging patterns
- pruning strategy
- pattern mining
- sliding window
- knowledge discovery
- data mining
- data sets
- anti monotone
- pattern growth
- database
- pattern discovery
- data mining algorithms
- mining of frequent itemsets