Application of Data Mining Technology in Acupuncture Prescription Compatibility

Abstract

Data mining is extracted from a large number of incomplete, noise, broadcast and random data hidden in it. There are many terms similar to knowledge discovery in database, data analysis, data merging and decision support. Like mining, people use raw data as a source of knowledge. The original data can be used as relational or semi-structured database data structure in the form of text, image, image or impurity data published on the Internet. The method of discovering knowledge can be mathematical or non mathematical, inferential or inductive. The discovered knowledge can be used in information management, request optimization, decision support, process control, and data maintenance and management. In this paper, decision tree algorithm and acupuncture prescription model are used to carry out a series of research. Data mining is a wide range of technical category summary, which has intelligent, mathematical statistics, database, parallel computing and decision tree algorithm in the field of engineering and technical personnel. The new information processing technology data mining technology is good at extracting, integrating and inferring the knowledge in text data from large data. This technology has obvious advantages for needle data processing. The analysis of complex meridians, meridian blood, diseases, medical records and other data related to acupuncture is suitable to show the scientific significance of acupuncture theory. This paper is based on the compatibility of data mining technology in acupuncture and moxibustion.