Solving the Problem of Selecting Suitable Objective Measures by Clustering Association Rules Through the Measures Themselves.
Veronica Oliveira de CarvalhoRenan de PaduaSolange Oliveira RezendePublished in: SOFSEM (2016)
Keyphrases
- objective measures
- association rules
- discovered patterns
- association rule mining
- quality assessment
- clustering algorithm
- data mining
- interestingness measures
- knowledge discovery
- user satisfaction
- data mining techniques
- document clustering
- data points
- itemsets
- evaluation criteria
- databases
- multi dimensional
- information systems
- interesting rules