学生就业贝叶斯网模型的构建与推理

The Construction of the Students' Employment Model Based on the Bayesian Network and its Inference

贝叶斯网是一种帮助人们将概率统计应用于复杂领域、进行不确定性推理和数据分析的工具.构建了学生就业贝叶斯网模型,找出就业受择业观念、能力素质、择业技巧、就业心理等因素影响的相互依赖关系,并在学生就业贝叶斯网模型基础上利用簇树进行推理.

The Bayesian network is a tool that helps to apply the probability statistics to the complex domain for the uncertainty inference and the data analysis. The paper constructs the Bayesian network model for the students＇ employment and analyzes the interaction among the factors like career preference, competence and quality, career skills, and employment psychology. The cluster tree of the Bayesian network model is constructed and inferred to provide the employment reference for the students.