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

Table 2 Experimental results on finding the quality of association rules, discovered using semantic interestingness measures

Semantic	Accuracy	Accuracy	Accuracy	Accuracy	Accuracy
Interestingness measures	K = 1	K = 2	K = 3	K = 4	K = 5
Semantic confidence	31.51	49.32	57.53	61.64	64.38
Semantic lift	27.40	38.36	47.95	57.53	61.64
Semantic conviction	32.88	43.84	53.42	56.16	58.90
Semantic correlation coefficient	23.29	38.36	45.21	57.53	64.38
Semantic cosine	31.51	47.95	52.05	57.53	61.64
Semantic jaccard	34.25	46.58	56.16	61.64	64.38
Semantic leverage	26.02	36.99	53.42	58.90	63.01

The voting strategy has been used as classification method and the association rules have been used as background knowledge.

ISSN: 2041-1480