Data Analyzing Device And Data Analyzing Method
AssigneeKeyence Corporation
InventorsTaiga NOMI, Yasunobu UMEHARA
Life of this patent
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Abstract
To enable effectively narrowing down features to be generated, thereby generating effective features at a high speed, in obtaining the features from a large volume of data. A fixed rule and an additional rule are stored in advance. The fixed rule specifies a rule of a calculation operation for generating a new feature. The additional rule specifies whether to perform a calculation operation for generating the new feature on a basis of meta-information, not depending on whether the fixed rule is applicable. An objective variable is predicted from plurality of features on the basis of the fixed rule and the additional rule.
Claims14
A data analyzing device for analyzing analysis target data, comprising:
- a data input unit which receives an input of analysis target data including a plurality of features and an objective variable;
- a display unit which displays a list of the plurality of features input by the data input unit;
- a supplementary information adding unit which adds supplementary information to each of the plurality of features in the list displayed by the display unit based on an input by a user;
- a rule storage unit which stores a fixed rule and an additional rule, the fixed rule specifying a rule of a calculation operation for generating a new feature from the feature alone or a combination of the plurality of features, and the additional rule specifying whether to perform a calculation operation for generating the new feature on a basis of the supplementary information added by the supplementary information adding unit, not depending on whether the fixed rule is applicable;
- and
- a prediction model generating unit which generates a prediction model for predicting the objective variable from the plurality of features, on a basis of the fixed rule and the additional rule stored in the rule storage unit.
A data analyzing method for analyzing analysis target data, comprising:
- receiving an input of analysis target data including a plurality of features and an objective variable;
- displaying a list of the plurality of features input;
- allowing a user to input and add supplementary information to each of the plurality of features in the displayed list;
- storing a fixed rule and an additional rule, the fixed rule specifying a rule of a calculation operation for generating a new feature from the feature alone or a combination of the plurality of features, and the additional rule specifying whether to perform a calculation operation for generating the new feature on a basis of the supplementary information capable of being added by the supplementary information adding unit, not depending on whether the fixed rule is applicable;
- and
- generating a prediction model for predicting the objective variable from the plurality of features, on a basis of the fixed rule and the additional rule that are stored.
Dependencies are inferred from the claim text.