A Discriminative Model of Factors Influencing Faculty Title Promotion Based on Data from a Specialized College

Faculty title promotion is an important matter for each institution and highly affects the development of individual teachers and the college, so it is important to clarify the influencing factors and related weights. In this paper, based on 6 years of historical data of a specialized college, we used the algorithm of feature discrimination in SAS computer big data analysis platform to screen out 8 factors indicators that can successfully promote professors, and then used the feature discrimination procedure to derive the discrimination model. After the backgeneration verification, the correct rate of discriminating successful promotion was 89.7%, and the correct rate of discriminating failed promotion was 75.8%. The article then analyzed and judged these factors and made policy reco mmendations.