Apriori算法改进及其在中药知识发掘中的应用  

Apriori Algorithm Improvement and Its Application of Data Mining in Traditional-Chinese Medicine

作　　者：赵丹丹[1] 

机构地区：[1]威海职业学院,山东威海264210

出　　处：《计算机与现代化》2007年第8期23-25,共3页Computer and Modernization

摘　　要：数据挖掘是伴随着数据库技术的发展而逐步完善起来的,已经在许多领域得到应用,在医学领域的应用虽然刚刚起步,但也表现出良好的发展势头。文章以治疗糖尿病的中药方剂数据为研究样本,将数据挖掘技术与中医药领域相结合,通过对关联规则及其算法的改进,来发现中药配伍的规律,从而提取出使用中药治疗糖尿病的整体用药规律。The data mining becomes perfect with the development of the database technology step by step and is used in many areas. It is just used in the area of iatrology, but would have a good future. Using the data of traditional - chinese medicine in preventing the diabetes meUitus as a sample to research, combining mining technology integrated with traditional-chinese medicine field, through association rules and its algorithm improvement, the paper discovers the laws of traditional-chinese medicinal matching, extracts the whole rule of traditional - chinese medicine in preventing the the paper diabetes mellitus.

关 键 词：数据挖掘 关联规则 APRIORI算法 中医药 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]