基于SPSS Clementine的关联规则分析在中医药数据挖掘中的应用优势和局限  

The Application Advantages and Limitations of Association Rules Analysis Based on SPSS Clementine in Traditional Chinese Medicine Data Mining

作　　者：王玲玲[1] 付桃芳 杜俊英[1] 梁宜[1,2] 方剑乔[1] 

机构地区：[1]浙江中医药大学第三临床医学院,浙江杭州310053 [2]浙江中医药大学附属第三医院,浙江杭州310005

出　　处：《云南中医学院学报》2016年第6期98-102,共5页Journal of Yunnan University of Traditional Chinese Medicine

基　　金：全国名老中医药专家传承工作室建设项目(国中医药人教发[2013]47号);浙江省名老中医专家传承工作室建设项目(GZS2012014);浙江省中医药科技计划项目(2014ZA059)

摘　　要：Clementine是数据挖掘的常用工具之一,在如今中医学领域数据挖掘方面也运用相当广泛,其中它的关联规则分析也是应用最多的挖掘方法之一。本文综述了目前SPSS Clementine关联规则分析方法在中医药研究中运用的概况,主要是对名老中医经验传承、中医病机、症状与中药、医案研究和针灸处方研究等方面的关联规律挖掘,并简要概括了关联规则在中医药研究中存在的诸多不足。在今后运用过程中,不仅仅局限于现有的方面,可以多角度、更深入地有效挖掘更多有用的知识,以期更好指导临床。Clementine, one of the commonly used tools in data mining, is also widely used in the field of data mining in Traditional Chinese Medicine, and its association rule analysis is one of the most extensively used methods of data mining. This essay summarizes the current situation of the application of Clementine SPSS association rules analysis method in the research of Chinese Medicine. It＇ s mainly used in those aspects such as the inheritance of experience of the old famous prescriptions of acupuncture and moxibustion research association rules mining, In addition, the author summarized the deficiency of association rules used in the research of traditional Chinese medicine. Therefore we should not only limit to existing aspects, but also dig out from muti-angle and deep fields in order to get more useful knowledge to guide future clinical later on.

关 键 词：数据挖掘 CLEMENTINE 关联分析 中医药 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]