Boolean factors as a means of clustering of interestingness measures of association rules.
Radim BelohlávekDhouha GrissaSylvie GuillaumeEngelbert Mephu NguifoJan OutrataPublished in: Ann. Math. Artif. Intell. (2014)
Keyphrases
- interestingness measures
- association rules
- association rule mining
- discovered association rules
- discovered knowledge
- interesting rules
- clustering algorithm
- itemsets
- fuzzy association rules
- data mining
- quality indicators
- frequent itemset mining
- data mining techniques
- classification rules
- mining algorithm
- mining association rules
- association rules mining
- frequent itemsets
- discovered rules
- discovered patterns
- knowledge discovery
- apriori algorithm
- rules discovered
- interesting itemsets
- rule sets
- associative classification
- pattern mining
- frequent patterns
- random walk
- multi dimensional
- data points
- machine learning