公开(公告)号：US20180052804A1

公开(公告)日：2018-02-22

申请号：US15560622

申请日：2015-03-26

Applicant: NEC CORPORATION

Inventor： Sawako MIKAMI ,  Keisuke UMEZU ,  Yousuke MOTOHASHI

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

CPC classification number: G06N20/00 ,  G06F17/18 ,  G06N7/005 ,  G06Q10/04 ,  G06Q10/063

Abstract: 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.

公开(公告)号：US20160350557A1

公开(公告)日：2016-12-01

申请号：US15114616

申请日：2015-01-14

Applicant: NEC CORPORATION

Inventor： Sawako MIKAMI ,  Kenichiro FUJIYAMA ,  Kentaro YAMASAKI ,  Yuji KOBAYASHI

IPC: G06F21/62 ,  G06F17/30

CPC classification number: G06F21/6254 ,  G06F16/2282

Abstract: An information determination apparatus includes a first storage unit configured to store stream data pieces obtained in time sequence; a first determining unit configured to determine whether the number of stream data pieces stored in the first storage unit is at least equal to a predetermined value; and a second determining unit configured to determine, when the number of the stream data pieces stored in the first storage unit is equal to or greater than the predetermined value, whether an individual can be identified based on a dataset composed of a plurality of the stream data pieces stored in the first storage unit, and output the dataset used for the determination and the determination result.

Abstract translation: 信息确定装置包括：第一存储单元，被配置为存储以时间顺序获得的流数据; 第一确定单元，被配置为确定存储在所述第一存储单元中的流数据片段的数量是否至少等于预定值; 以及第二确定单元，被配置为当存储在第一存储单元中的流数据片段的数量等于或大于预定值时，确定是否可以基于由多个流组成的数据集来识别个人 存储在第一存储单元中的数据，并输出用于确定的数据集和确定结果。