关键词: 奖学金等级, 评定, K2算法, 贝叶斯网络

Abstract:

The establishment of the system of graduate scholarships evaluation is one of the most important problems in the graduate education reform. In order toassess graduate scholarships more fairly and equitably, it is needed to analyze the relevant factors of scholarship levels and their intrinsic relationships. Based on historical data, a Bayesian network model for evaluation of scholarship levels is constructed by using the K2 algorithm and the probabilistic inference algorithms for prediction. The research results show that the proposed method is feasible and its accuracy is as high as 88%. The study presents a scientific method for the evaluation of graduate admission scholarship, which provides a good guidance for the future scholarship evaluation.

Key words: scholarship level, evaluation, K2 algorithm, Bayesian network