Supervised approach to rank predicted links using interestingness measures.
Murali K. PusalaRyan G. BentonVijay V. RaghavanRaju N. GottumukkalaPublished in: BIBM (2017)
Keyphrases
- interestingness measures
- association rule mining
- association rules
- quality indicators
- discovered knowledge
- frequent itemset mining
- learning algorithm
- supervised learning
- itemsets
- discovered association rules
- semi supervised
- interesting rules
- link analysis
- correlation coefficient
- interesting itemsets
- classification rules
- rule mining
- knowledge discovery
- rule interestingness measures
- mining algorithm
- data mining
- support vector machine
- feature selection