Patent ID: 7684965
Filing Date: 2010-03-23
Classification: G05B

Abstract:
1. A computer implemented data processing method of determining a plurality of explanatory variables that have great effect on an objective variable in target data, comprising: calculating a degree of association between the objective variable and each of a plurality of explanatory variables; extracting a plurality of explanatory variables based on the degree of association; calculating a degree of independence between the explanatory variables extracted based on the degree of association; selecting, from the explanatory variables, a plurality of candidates of explanatory variables that have high possibility of having a great effect on the objective variable based on the degree of association and the degree of independence; selecting an explanatory variable having a high rate of contribution to the objective variable from among the candidates; calculating a regression equation to estimate a value of the objective variable using the selected explanatory variable having a high rate of contribution; and calculating difference between the estimated value and a known measured value of the objective variable; acquiring a threshold used to group processing target data into a first group and a second group, the first group comprising at least one record having an explanatory variable is equal to or lower than the threshold, the second group comprising at least one record having an explanatory variable is higher than the threshold and forming the two groups; and calculating a cumulative contribution rate by summing contribution rates of the explanatory variables in a descending order of the contribution rate, using the difference as a new objective variable, and using explanatory variables except the selected explanatory variable having a high rate of contribution as new explanatory variables, a series of processing including the calculating a degree of association, the extracting, the calculating a degree of independence, the selecting candidates, the selecting an explanatory variable, the calculating a regression equation, and the calculating difference is repeated until the cumulative contribution rate reaches a predetermined value, and wherein the calculating the degree of association is based on number of records comprising the first group and number of records comprising the second group, values of the objective variable in the two groups, and averages and sum squares of the objective variable values in the two groups.