Patent ID: 7630951

Claim:
An analysis model generating method for generating an analysis model in which causal relationships between variables are expressed using a Bayesian network, the method comprising: selecting a child variable to be added to the analysis model; selecting a plurality of variable candidates to be added to the analysis model as parent variables in causal relationships with the child variable; judging, using a processor, whether each of values indicating the causal relationships between the selected variable candidates and the child variable are high causal variable candidates or low causal variable candidates, based on the causal relationships between the variable candidates and the child variable; generating an aggregated variable different from the variable candidates by aggregating a plurality of low causal variable candidates, each of the low causal variable candidates being judged to have a low value in indicating the causal relationship; generating the analysis model by putting a high causal variable candidate and the aggregated variable into the analysis model as the parent variables to the child variable, the high causal variable candidate being judged to have a high value in indicating the causal relationship; and evaluating target data by using the analysis model.