Application of association rules mining in Endemic disease precautions

摘要：

Interconnected rule mining is one of the important contents in data mining. In this paper,a lot of useful knowledge is extracted by means of Apriori algorithm of the interconnected rule,in the endemic disease diagnostic data,and the interconnected rule about the symptoms and the disease is generalized. This rule mode has important guiding significance to diagnose and preventing from endemic disease.

关键词： data mining the interconnected rules endemic disease precautions

作者: Huimin Xiao Zongcai Jiang

作者单位: School of Informatiojn,Henan University of Finance and Economics,Zhengzhou 450002,China

会议类型: 国际会议

会议名称: The First International Conference on Management Innovation(ICMI 2007)(管理创新会议)

会议地点: 上海

会议语种:英文

页码: 436-439

在线出版日期: 2007-06-04（万方平台首次上网日期，不代表论文的发表时间）