基于Apriori算法的中医数据预处理方法分析及应用

摘要

To present a data processing method of traditional Chinese medicine based on Apriori algorithm to improve the efficiency of data mining and ensure the accuracy of the knowledge or conclusion in the data mining. The importance of data preprocessing in data mining was analyzed, along with the characteristics of TCM data and the requirements of Apriori algorithm for mining data. Some new functions were formed with considerations on the exam-ples. The data preprocessing was explored from the aspects of terminology standardization, eliminating unqualified data, structured prescription data, data sorting and etc. The new functions were simple and easy to operate, and the preprocessed data made the efficiency of TCM data mining enhanced greatly. The preprocessing method based on Apriori algorithm for TCM data facilities the TCM data mining.%目的：为了提高数据挖掘的工作效率，保证数据挖掘出的知识或结论的准确性，提出基于Apriori算法的中医数据预处理方法。方法：通过分析数据预处理在数据挖掘中的重要地位、中医数据的特点以及Apriori算法对挖掘数据的要求，结合实例创建多个函数，从术语规范化、清理不合格数据、药方数据结构化、数据有序化等方面阐述了数据预处理方法。结果：构造的新函数清晰明确、便于调用，预处理过的数据大大提高了中医数据的挖掘效率。结论：基于Apriori算法的中医数据预处理方法简单易操作，从很大程度上解决了中医数据挖掘的先行问题。