中医古籍文本本分析系统关键技术研究与实现_论文设计

摘 要中国古籍是中国优秀国家的文化遗产，传统中药理论在长期的医疗实践中积累了大量数据，挖掘其中的宝贵经验是一项十分宝贵的研究工作。数据挖掘可以发现古代中药书籍中隐藏的潜在知识 。相关规则是数据挖掘的主要研究领域。这是目前主流的研究方向，专注于找出特定领域的数据与更好的应用之间的依赖关系。。在这篇文章中，我们将聚焦于相关路由挖掘算法的研究。基于 Apriori 相关算法，对古书Typhoid Ninety 进行数据挖掘。首先，对收集的古代文本数据进行预处理。其次，设计相关规则算法。古代中药的文本数据挖掘和相关规则结果的分析表明，挖掘结果遵循传统中药的相关理论，具有良好的临床标准。关键词：伤寒九十论；关联算法；Apriori1AbstractChinese ancient books are the cultural heritage of China's outstanding countries. Traditional Chinese medicine theory has accumulated a large amount of data in long-term medical practice. It is a very valuable research work to mine the precious experience. Data mining can discover hidden knowledge hidden in ancient Chinese medicine books. Related rules are the main research field of data mining. This is the current mainstream research direction, focusing on finding the dependency between data in a specific field and better applications. .In this article, we will focus on the research of related route mining algorithms. Based on the Apriori related algorithm, data mining of the ancient book Typhoid Ninety. First, pre-process the collected ancient text data. Secondly, design the relevant rules algorithm. The text data mining of ancient Chinese medicine and the analysis of the results of relevant rules show that the mining results follow the relevant theories of traditional Chinese medicine and have good clinical standards.Keywords: Ninety treatises on typhoid ；Association Rules; Apriori2第1章 绪论1.1 课题研究的背景和意义1.1.1 研究背景随着互联时代的快速发展，传统医书文本的数字化建设、数字化产品，以及网络...