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

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.