Boolean Factors as a Means of Clustering of Interestingness Measures of Association Rules.
Radim BelohlávekDhouha GrissaSylvie GuillaumeEngelbert Mephu NguifoJan OutrataPublished in: CLA (2011)
Keyphrases
- interestingness measures
- association rules
- association rule mining
- discovered association rules
- discovered knowledge
- clustering algorithm
- knowledge discovery
- itemsets
- interesting rules
- discovered rules
- quality indicators
- classification rules
- frequent itemset mining
- rule discovery
- data mining
- associative classification
- frequent itemsets
- data mining techniques
- rules discovered
- rule mining
- redundant rules
- mining association rules
- discovered patterns
- decision trees
- fuzzy association rules
- real world
- rule sets
- learning algorithm
- website
- data points
- multi dimensional
- rule generation
- decision rules