Research on Intelligent Evaluation Algorithm of English Diagnosis System Based on Association Rule Mining

With the rapid popularization of computer and the development of Internet technology, it is possible for computer-assisted instruction to play an important role in English teaching. At present, middle school English teaching is still in the traditional teaching mode, lack of intelligent and information-based auxiliary means. Therefore, how to make full use of the existing computer and network resources to serve teaching has become a difficult problem for teachers and students. Association rule mining is an important research branch of data mining (DM). Its main research purpose is to find hidden, interesting and existing rules among attributes from large data sets. Because the form is simple and easy to understand, and it is the main means to extract knowledge from large-scale data, the research and application of association rule mining has been paid great attention by scholars in the fields of database, artificial intelligence and statistics, and many research results have been obtained. In view of this situation, this paper proposes an intelligent evaluation algorithm for English diagnosis system based on association rule mining.