A Quantitative Analysis Method of Ideological and Political Instructors' Work Based on Data Mining

Abstract

The information of Ideological and political instructors' work quantitative evaluation is a set of statistical feature data, in order to improve the ability of quantitative evaluation of Ideological and political instructors, a quantitative analysis method of Ideological and political instructors' work is proposed based on data mining, high dimensional phase space reconstruction method is used for feature data reorganization of political instructors' work in quantitative evaluation. In the reconstruction phase space, fuzzy clustering method is used to classify feature processing quantitative evaluation data. The association rules features of Ideological and political counselors' quantitative evaluation are mined, the adaptive learning algorithm is used for convergence process control, and accurate quantitative analysis of political instructors' work is obtained. The simulation results show that the method can analyze the political instructors' work accurately, and it has high degree of confidence, and improve the ideological and political education quantitative evaluation ability of counselors.