A Generic Approach for Mining Indirect Association Rules in Data Streams.
Wen-Yang LinYou-En WeiChun-Hao ChenPublished in: IEA/AIE (1) (2011)
Keyphrases
- data streams
- association rules
- itemsets
- frequent itemsets
- market basket data
- association rule mining
- mining algorithm
- mining association rules
- knowledge discovery
- data mining
- association mining
- sliding window
- apriori algorithm
- frequent closed itemsets
- frequent patterns
- stream mining
- continuous data streams
- data mining techniques
- quantitative association rules
- interesting association rules
- association rules mining
- frequent itemset mining
- closed frequent itemsets
- multiple data streams
- discovering association rules
- transactional databases
- itemset mining
- frequent item sets
- rule mining
- emerging patterns
- mining data streams
- mining frequent itemsets
- fuzzy association rules
- weighted association rules
- data stream mining
- transaction data
- interesting patterns
- sequential patterns
- concept drift
- discovered knowledge
- pattern mining
- association patterns
- data sets
- closed itemsets
- streaming data
- sensor networks
- positive and negative association rules
- association rule mining algorithm
- stream data
- minimum support and minimum confidence
- data mining algorithms
- pattern discovery
- interestingness measures
- limited memory
- discovered rules
- frequent pattern mining
- rules discovered
- temporal association rules
- stream processing
- stream data mining
- rule generation
- continuous queries
- web mining
- high speed data streams
- frequent sets
- data mining methods
- incoming data
- association rule discovery
- maximal frequent itemsets
- market basket analysis