Classification as Mining and Use of Labeled Itemsets.
Dimitris MeretakisBeat WüthrichPublished in: 1999 ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery (1999)
Keyphrases
- itemsets
- frequent itemsets
- mining algorithm
- itemset mining
- emerging patterns
- mining association rules
- frequent itemset mining
- association rule mining
- association rules
- frequent pattern mining
- pattern mining
- data structure
- data streams
- frequent item sets
- data mining algorithms
- minimum support
- interesting association rules
- frequent patterns
- closed patterns
- supervised learning
- high utility itemsets
- transaction databases
- mining frequent itemsets
- transaction data
- algorithms for mining association rules
- association patterns
- data mining
- mining high utility itemsets
- interesting itemsets
- apriori algorithm
- closed itemsets
- decision trees
- sequential pattern mining algorithm
- frequent sets
- high utility
- data stream mining
- interestingness measures
- interesting patterns
- frequent closed itemsets
- maximal frequent itemsets
- closed frequent itemsets
- knowledge discovery
- candidate generation
- closed item sets
- association rules mining