Missing Value Treatment of the Data Mining Based on Bayesian Principle

Due to kinds of reasons, there more or less has the characteristic missing value in the sample set of data mining application. The sample with missing value can be deleted in the large-scale data concentration. But it is better to take more precise value instead of missing value in the small sample set with limited numbers. With the Bayesian classification method, the paper takes the quite precise forecast for the missing value.