关键词: 贝叶斯网络, 领域知识, 缺省数据, KB-SEM

Abstract: To overcome shortcomings present in the SEM in the presence of missing values data sets such as lower precision and slow convergent speed，KB-SEM is proposed by introducing domain knowledge.A tabu list derived from collecting domain expert knowledge synthesized by using D-S evidence theory is embedded in the SEM to constrain and guide the searching path，and to decrease the searching space.Experimental result shows that KB-SEM can improve the precision and the speed effectively，and to some extent avoid subjective bias and disturbance of noise in the data sets.

Key words: Bayesian Networks（BNs）, domain knowledge, missing data, KB-SEM