关联规则挖掘是数据挖掘的一个重要研究方向,它可以揭示数据之间有趣的关联或者相关联系。在此基础上结合特定系统的用户行为数据.还可以进行用户行为分析。本文以一个开发的中医证候信息数据库系统为基础,结合中医数据挖掘实际,论述了在此系统架构下关联规则挖掘算法的成功运用,并提出了一个高效的中医数据挖掘模型。系统运行状况表明,在该模型指导下的系统在智能和用户使用人性化方面都比原系统有明显的优势。
Association rules mining, which is used to discover interesting relationship between items of huge data sets, is one of the most important research direction in data mining. Particularly, mining association rules from the vast amount of historical data stored in database of some special system can help analyze user behavior. In this paper, based on a database system for traditional Chinese medicine, we analyze the characteristics of the traditional Chinese medicine information, and give the procedure of applying association rules mining on the old system. The operation condition of the system shows that the new system is more personal and humanistic than the original one.