On selecting interestingness measures for association rules: User oriented description and multiple criteria decision aid.
Philippe LencaPatrick MeyerBenoît VaillantStéphane LallichPublished in: Eur. J. Oper. Res. (2008)
Keyphrases
- decision aid
- user oriented
- interestingness measures
- multiple criteria
- association rules
- association rule mining
- multi criteria
- discovered association rules
- decision problems
- decision makers
- multi objective
- itemsets
- decision making
- multi attribute
- data mining
- knowledge discovery
- mathematical programming
- frequent itemset mining
- frequent itemsets
- user interface
- classification rules
- data mining techniques
- influence diagrams
- rule sets
- special case
- fuzzy logic
- sufficient conditions
- genetic algorithm
- artificial intelligence
- decision trees
- data structure
- formal concept analysis
- control system
- neural network