Fujitsu Corporation

Takuya Takagi

Hiroaki Iwashita

Keisuke Goto

Kotaro Ohori

A non-transitory computer-readable recording medium stores therein a prediction program that causes a computer to execute a process including receiving input data to be predicted, generating a tree structure data based on a plurality of pieces of rule information each indicated by an association of a combination of attribute values of a plurality of attributes with a label according to a predetermined order condition for the plurality of attributes, the tree structure data being obtained by aggregating the plurality of pieces of rule information, the tree structure data including an attribute value as a branch, and determining a degree of contribution to make a determination result on a predetermined value of a predetermined attribute reach a predetermined label based on a likelihood of obtaining a value of the predetermined label as the determination result, when the attribute value of the predetermined attribute is determined to be the predetermined value.

Prediction method, prediction apparatus, and computer-readable recording medium

A non-transitory computer-readable recording medium stores therein a predicting program that causes a computer to execute: receiving input data to be subjected to prediction; and generating, from training data sets each having explanatory variables and an objective variable, a prediction result, by using a hypothesis set and respective weights of hypotheses included in the hypothesis set, the hypotheses each being formed of a combination of the explanatory variables, classifying any of the training data sets and satisfying a specific condition, the weights being learnt based on whether each of the hypotheses holds true for each of the training data sets. The generating includes determining a value of a variable included in a pseudo-Boolean function such that a probability satisfies a predetermined standard, the probability being a probability that the prediction result satisfies the specific condition, the pseudo-Boolean function including variables corresponding to the explanatory variables.

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Kawasaki, Japan

Takuya Takagi