Title :
Correlation Research of Association Rules and Application in the Data about Coronary Heart Disease
Author :
Lin, Zheng-kui ; Yi, Wei-Guo ; Lu, Ming-Yu ; Liu, Zhi ; Xu, Hao
Author_Institution :
Inf. Sci. & Technol., Dalian Maritime Univ., Dalian, China
Abstract :
The mining association rule is an important research field in data mining. The mining association rule usually adopts this model: support, confidence, interestingness. But this model can´t measure the correlative degree between the antecedent and the consequent of the rule by ration. So we proposed a new mining model of association rules: support, coincidence, interestingness and analyzed the meaning of coincidence by instance. At last, we used this model in the data about coronary heart disease and obtained a lot of meaningful rules.
Keywords :
data mining; medical computing; confidence model; coronary heart disease; data mining; interestingness model; mining association rule; support model; Association rules; Cardiac disease; Cardiology; Data mining; Hospitals; Information science; Itemsets; Mathematics; Pattern recognition; Transaction databases; association rules; coincidence; coronary heart disease; interestingness; support;
Conference_Titel :
Soft Computing and Pattern Recognition, 2009. SOCPAR '09. International Conference of
Conference_Location :
Malacca
Print_ISBN :
978-1-4244-5330-6
Electronic_ISBN :
978-0-7695-3879-2
DOI :
10.1109/SoCPaR.2009.39
