Application research on English Translation Teaching Quality based on Data mining

Abstract

In the development of education informatization, in order to improve the quality of English translation teaching, universities and colleges, based on the accumulated experience of practical teaching, put forward the use of data mining technology to deal with massive data information, and dig out the main contents affecting the quality of college English translation teaching from a variety of influencing factors, in order to provide effective basis for the innovation and development of modern education. After understanding the basic concepts of data mining and decision tree algorithm, this paper deeply discusses the quality evaluation system of English translation teaching based on data mining according to the research status of English translation teaching in colleges and universities, and verifies and analyzes the system application combined with practical cases. The final results show that data mining plays an important role in the application research of English translation teaching quality in colleges and universities.