Table 6 Experimental results on finding the quality of association rules discovered using semantic Interestingness measures that employed Wu & Palmer as semantic similarity method
From: Semantic interestingness measures for discovering association rules in the skeletal dysplasia domain
Semantic interestingness measures | Accuracy | Accuracy | Accuracy | Accuracy | Accuracy |
|---|---|---|---|---|---|
(Employing Wu and Palmer) | K = 1 | K = 2 | K = 3 | K = 4 | K = 5 |
Semantic confidence | 20.55 | 35.62 | 36.99 | 42.47 | 54.79 |
Semantic lift | 13.70 | 26.03 | 28.77 | 39.73 | 52.05 |
Semantic conviction | 16.44 | 24.66 | 26.03 | 34.25 | 52.05 |
Semantic correlation coefficient | 20.55 | 28.77 | 32.88 | 39.73 | 43.84 |
Semantic cosine | 21.92 | 32.88 | 34.25 | 42.47 | 54.79 |
Semantic jaccard | 20.55 | 35.62 | 38.36 | 41.10 | 54.79 |
Semantic leverage | 23.29 | 30.14 | 32.88 | 38.36 | 45.21 |