中药药效成分是中药治病的基础,而中药化学成分纷繁复杂,要在海量的数据信息中探索发现这些成分之间的组合规律直至筛选出有效成分组合具有重要意义。文章主要介绍应用数据挖掘技术探索性研究治疗冠心病中药化学成分所形成的一些思路,认为选用数据挖掘方法处理中医文献中海量信息,进行治疗冠心病中药化学成分筛选具有较强的优越性。 The traditional Chinese medicine pharmacopoeia composition is the basis for the treatment of Chinese medicine, while the chemical composition of traditional Chinese medicine is complex, to explore the massive data found in the composition of these ingredients until the active ingredients of the combination of screening is of great significance. In this paper, we mainly introduce some ideas that exploit data mining technology to explore the chemical composition of traditional Chinese medicine (TCM) for the treatment of coronary heart disease (CHD). We think that using data mining method to deal with large amounts of information in Chinese medical literature is of great superiority.