期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2015
卷号：24
期号：1
页码：45-49
DOI：10.14445/22312803/IJCTT-V24P109
出版社：Seventh Sense Research Group
摘要：Data mining technology provides a user oriented approach to novel and hidden patterns in the data and discovering association rules in medical data to predict heart disease. mapping medical data to a transaction format suitable for mining association rules and identifying useful constraints. However, there is a lack of effective analysis tools to discover hidden relationships and trends in data. Knowledge discovery and data mining have found numerous applications in business and scientific domain.
关键词：Pruning-Classification Association Rule; Apriori algorithm; Naïve bayes
