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Research on Data Mining Algorithm in University Management Informatization Level Evaluation Model

  • Suiying Liu,
  • Yuling Dan

摘要

The role of informatization in secondary vocational colleges and universities is very important, but there is a problem that the degree of informatization is not high. The existing management system cannot solve the problem of managing multiple types of information in teaching, and the concentration of information is not high. Therefore, this paper proposes a data mining algorithm and constructs an information guidance model. First of all, according to the requirements of informatization, the information of secondary vocational secondary schools is collected, and the information is summarized according to the degree of importance to realize the preprocessing of information. Then, an information collection is formed, and the data is self-learning and analyzed. MATLAB simulation shows that under the condition of specific processing standards, the guidance degree and informatization degree of the data mining algorithm are better than those of cluster analysis method.