Semantic interestingness measures for discovering association rules in the skeletal dysplasia domain

Table 5 Experimental results on finding the quality of association rules discovered using semantic Interestingness measures that employed Resnik as semantic similarity method

Semantic interestingness measures	Accuracy	Accuracy	Accuracy	Accuracy	Accuracy
(Employing Resnik)	K = 1	K = 2	K = 3	K = 4	K = 5
Semantic confidence	5.48	6.85	9.59	10.96	10.96
Semantic lift	5.48	8.22	9.59	9.59	10.96
Semantic conviction	2.74	6.85	9.59	9.59	10.96
Semantic correlation coefficient	5.48	8.22	9.59	9.59	10.96
Semantic cosine	5.48	8.22	9.59	10.96	10.96
Semantic jaccard	5.48	8.22	9.59	9.59	10.96
Semantic leverage	5.48	8.22	9.59	9.59	10.96

ISSN: 2041-1480