Abstract: A predictor management system includes a storage unit 81 and update history management means 82. The storage unit 81 stores, in association with each of a plurality of prediction targets, an update history of a predictor corresponding to the prediction target. The update history management means 82 stores, in response to updating of a predictor, a prediction target of the predictor and an update time of the predictor in the storage unit 81 in association with each other.

Abstract: An information processing apparatus according to the present invention divides a period in which performance data at a business facility as a prediction target is present into a plurality of partial periods. The information processing apparatus performs prediction processing using each of a plurality of prediction models for a second partial period which is a partial period other than a first partial period including a start time of a predetermined period, and compares the result of the process with the performance data in a partial period as a target of the prediction processing. The information processing apparatus decides a prediction model to be used for sales prediction for a period subsequent to the predetermined period on the basis of the result of the comparison.

Abstract: An information processing system 80 includes a storage unit 81 which stores a plurality of prediction models that are each identified by a plurality of classifications and used for predicting a value of a prediction target, a reception unit 82 which receives at least one of the plurality of classifications, and an extraction unit 83 which extracts a prediction model from the storage unit 81 based on the classification received by the reception unit 82.

Abstract: A storage unit 81 stores information associating each of a plurality of prediction targets with a predictor-related index related to a predictor for predicting the prediction target. Scatter graph generation means 82 generates, based on the information stored in the storage unit 81, a scatter graph in which a symbol representing the prediction target of the predictor is located at a position determined by the predictor-related index in a coordinate space where the predictor-related index is defined as at least one dimension.

Abstract: A harness routing structure for an electric vehicle includes a battery, an inverter device, and a harness configured to connect the battery and the inverter device. A length L of the harness between a battery fixing end of the battery to which the harness is fixed and an inverter fixing end of the inverter device to which the harness is fixed is an integer multiple of a parameter ?a associated with a rising wavelength ? when the inverter device is driven, and the parameter ?a satisfies 0.462???a?0.538?.

Abstract: A harness routing structure for an electric vehicle includes a battery, an inverter device, and a harness configured to connect the battery and the inverter device. A length L of the harness between a battery fixing end of the battery to which the harness is fixed and an inverter fixing end of the inverter device to which the harness is fixed is an integer multiple of a parameter ?a associated with a rising wavelength ? when the inverter device is driven, and the parameter ?a satisfies 0.462???a?0.538?.

Abstract: An information processing system 80 for predicting a prediction target using a predictive model including a variable that influences the prediction target includes a reception unit 81 and a specifying unit 82. The reception unit 81 receives designation of a plurality of prediction targets. The specifying unit 82 specifies, from among the designated plurality of prediction targets, a prediction target for which an element included in a corresponding predictive model shows a different tendency from other prediction targets.

Abstract: A storage unit 81 stores information associating each of a plurality of prediction targets with a predictor-related index related to a predictor for predicting the prediction target. Scatter graph generation means 82 generates, based on the information stored in the storage unit 81, a scatter graph in which a symbol representing the prediction target of the predictor is located at a position determined by the predictor-related index in a coordinate space where the predictor-related index is defined as at least one dimension.

Abstract: A predictor management system includes a storage unit 81 and update history management means 82. The storage unit 81 stores, in association with each of a plurality of prediction targets, an update history of a predictor corresponding to the prediction target. The update history management means 82 stores, in response to updating of a predictor, a prediction target of the predictor and an update time of the predictor in the storage unit 81 in association with each other.