期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2011
卷号：32
期号：2
页码：196-201
出版社：Journal of Theoretical and Applied
摘要：This Paper Focuses on Analyzing Medical Data using Association Rule mining for Heart Attack Prediction. Association rule mining is one of the fundamental research topics in data mining and knowledge discovery that finds interesting association or correlation relation ship among a large set of data items and predicts the associative and correlative behaviors for new data. The Association rule mining algorithms must perform efficiently. In this paper we suggest a new approach for association rule mining based on sequence number and clustering the transactional data base for heart attack prediction. Experimental results shows effectiveness of our proposed algorithm
