摘要
中医药学是中华民族的文化瑰宝,从古至今,积累了海量的数据,采用数据仓库和数据挖掘技术可以从中获得有价值的知识.本篇论文介绍了如何构建中医方剂数据集市,从而对中医药数据进行OLAP(联机分析处理),以及如何采用关联规则技术挖掘中医药数据,并取得了良好的实验效果.
The traditional Chinese pharmacology is culture treasure of the Chinese nation. Plenty ot aata has been accumulated till today. We can obtain valuable knowledge when we adopt techniques of Data warehouse and Data mining. This paper mainly try to introduce how to build Data market of Chinese medical prescription to undertake the OLAP on the data of traditional Chinese pharmacology and try to indicate how to use association rules to analyse the data and achieve good experiment results.
出处
《贵州大学学报（自然科学版）》
2006年第3期317-319,共3页
Journal of Guizhou University:Natural Sciences
关键词
数据集市
数据挖掘
频集
关联规则
Data Market
Data Mining
Frequent hemsets
Association Rules
