Data patching method based on Bayesian network
Dong Chen · Shenyang Gongye Daxue xuebao · 2010
A data pathcing method was proposed for the data missing problem of Baysian network. This method used a scoring function to score all nodes and obtained the scores of all states belong to Baysian network,where the scores are the matching degree of all states to Batsian network. The states of supplement data were determined. The experimental results show that this method can finish data patching before Baysian network strcuture learing or inferring,and thus the complete data can be obtained. Furtheomore,the utilization rate of the missing data gets effectively improved.