Evaluation Method of College Students’ English Proficiency Based on Computer Aided Cluster Analysis

Abstract

Discovery in databases knowledge means obtain effective, implicit and potentially useful knowledge from a large number data of database. As China's higher education has been transferred to mass education, the scale of school and the number of students is increasing. By using data mining techniques, the author makes the score analysis of National English test (CET-4), mining useful information hidden in the performance data, then provides theoretical basis for the teaching design and management in English teaching. After K value clustering, we can effectively classify the students, so as to carry on the difference teaching, and this classified teaching will improve the quality of English teaching.