《中医古籍文本关联规则挖掘技术研究与实现》

ng-term medical practice. Exploring the valuable experience contained in it is a very valuable research work. Data mining can discover potential knowledge hidden in Chinese ancient books, and association rules are a major research branch in data mining, which is currently the mainstream research direction, focusing on finding dependency relationships between data and better applying them to specific fields. This paper focuses on the research of association rule mining algorithm, based on the Apriori association algorithm, the ancient book "Shanghan Lun" is mined for data. Firstly, the collected ancient text data is preprocessed, and then the design of association rule algorithm is carried out. Using Matlab to mine the text data of traditional Chinese medicine ancient books, and through the analysis of the results of association rules, it is shown that the mined results conform to the relevant theories of traditional Chinese medicine and have good clinical reference value. Keywords: Chinese ancient books; Shanghan Lun; Association algorithm; Apriori.