公开(公告)号：US20190034945A1

公开(公告)日：2019-01-31

申请号：US16070956

申请日：2016-03-25

申请人： NEC CORPORATION

发明人： Yousuke MOTOHASHI ,  Keisuke UMEZU

IPC分类号： G06Q30/02 ,  G06N99/00 ,  G06F17/18

摘要： An information processing system 80 configured to predict a prediction target specified by a plurality of classifications using a prediction model including a variable that affects the prediction target, includes an accepting unit 81 and an aggregating unit 82. The accepting unit 81 accepts classifications that specify the prediction target. The aggregating unit 82 specifies the prediction target by the accepted classifications and aggregates, for each of the variables, a degree of contribution determined by the prediction model corresponding to that prediction target.

公开(公告)号：US20190236545A1

公开(公告)日：2019-08-01

申请号：US16330123

申请日：2017-07-25

申请人： NEC Corporation

发明人： Keisuke UMEZU ,  Yuuki KUBOTA ,  Takayuki NAKANO

IPC分类号： G06Q10/08 ,  G06Q30/02

CPC分类号： G06Q10/0875 ,  G06Q10/08 ,  G06Q30/02 ,  G06Q30/0202

摘要： Error calculation means 81 calculates an error in a demand quantity predicted by a prediction model, and, from a predicted demand quantity during a covered time slot and a predicted demand quantity during a sales permitted period calculated for each product, calculates an error in the predicted demand quantity during the covered time slot and an error in the predicted demand quantity during the sales permitted period. Safety stock quantity calculation means 82 calculates an occurrence probability of the predicted demand quantity during the covered time slot, for each product, and an occurrence probability of the predicted demand quantity during the sales permitted period, for each product, from the errors and calculates a safety stock quantity. Order quantity calculation means 83 calculates an order quantity, from a stock quantity anticipated at a time point of delivery, the predicted demand quantity during the covered time slot, and the safety stock quantity.

公开(公告)号：US20190043066A1

公开(公告)日：2019-02-07

申请号：US16075238

申请日：2016-03-29

申请人： NEC CORPORATION

发明人： Keisuke UMEZU ,  Hiroki NAKATANI

IPC分类号： G06Q30/02 ,  G06N7/00 ,  G06N3/08 ,  G06F17/18

摘要： 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.

公开(公告)号：US20180240046A1

公开(公告)日：2018-08-23

申请号：US15548522

申请日：2016-01-26

申请人： NEC Corporation

发明人： Keisuke UMEZU

IPC分类号： G06Q10/04 ,  G06F17/18

CPC分类号： G06Q10/04 ,  G06F17/18

摘要： Provided is a display system for displaying analytical information that allows a person to easily analyze which term in the estimation equation causes the estimation failure, when the measured value largely deviates from the estimated value. A calculation means (3) uses values of two or more types of attributes used in calculation of an estimated value, and a coefficient of an explanatory variable in an estimation equation used in calculation of the estimated value, to calculate a product of a value of the explanatory variable specified from each of the values of the attributes and the coefficient corresponding to the explanatory variable, for each estimated value. A display means (4) displays a stacked bar graph in which each product calculated by the calculation means (3) and a constant term in the estimation equation are stacked, for each estimated value, and respectively displays a change in the estimated value and a change in a measured value corresponding to the estimated value.

公开(公告)号：US20180052804A1

公开(公告)日：2018-02-22

申请号：US15560622

申请日：2015-03-26

申请人： NEC CORPORATION

发明人： Sawako MIKAMI ,  Keisuke UMEZU ,  Yousuke MOTOHASHI

IPC分类号： G06F15/18 ,  G06Q10/06 ,  G06Q10/04 ,  G06N7/00 ,  G06F17/18

CPC分类号： G06N20/00 ,  G06F17/18 ,  G06N7/005 ,  G06Q10/04 ,  G06Q10/063

摘要： Provided is a learning model generation system capable of preventing a decrease in prediction accuracy in a case where the trend of an actual value of a prediction target has changed. The learning model generation means 71 generates a learning model using, as learning data, time series data in which a value of each explanatory variable used in prediction of a prediction target is associated with an actual value of the prediction target. The prediction means 72 calculates a predicted value of the prediction target using the learning model once the value of each explanatory variable is given. The change point determination means 73 determines a change point which is a point in time when a trend of the actual value of the prediction target changed. The data correction means 74 corrects the time series data by adding a difference between the actual value and the predicted value of the prediction target at the change point and afterward to the actual value before the change point in the time series data when the change point is determined. The learning model generation means 71 regenerates the learning model using the time series data after the correction as the learning data once the time series data is corrected.