公开(公告)号：US20200250691A1

公开(公告)日：2020-08-06

申请号：US16651793

申请日：2018-09-25

Applicant: NEC CORPORATION

Inventor： So YAMADA ,  Yousuke MOTOHASHI ,  Norihito GOTO ,  Ryo TAKATA ,  Tomoko NARUSAKA ,  Hiroki NAKATANI

IPC: G06Q30/02 ,  G06F17/18

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.

公开(公告)号：US20180075630A1

公开(公告)日：2018-03-15

申请号：US15556490

申请日：2015-03-23

Applicant: NEC Corporation

Inventor： Akira TANIMOTO ,  Yousuke MOTOHASHI ,  Hiroki NAKATANI ,  Hiroshi KITAJIMA

IPC: G06T11/20 ,  G06N5/04 ,  G06Q30/02

CPC classification number: G06T11/206 ,  G06F3/0482 ,  G06N5/022 ,  G06N5/04 ,  G06N20/00 ,  G06Q10/04 ,  G06Q30/02 ,  G06Q30/0202

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.

公开(公告)号：US20180039901A1

公开(公告)日：2018-02-08

申请号：US15556201

申请日：2015-03-23

Applicant: NEC Corporation

Inventor： Akira TANIMOTO ,  Yousuke MOTOHASHI ,  Hiroki NAKATANI

IPC: G06N7/00 ,  G06N5/04

CPC classification number: G06N7/005 ,  G06N5/046 ,  G06N20/00 ,  G06Q10/00 ,  G06Q10/04

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.

公开(公告)号：US20200074486A1

公开(公告)日：2020-03-05

申请号：US16610979

申请日：2017-05-09

Applicant: NEC Corporation

Inventor： Yousuke MOTOHASHI ,  Hiroki NAKATANI ,  Akira IMAMURA

IPC: G06Q30/02 ,  G06N5/04

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.

公开(公告)号：US20190043066A1

公开(公告)日：2019-02-07

申请号：US16075238

申请日：2016-03-29

Applicant: NEC CORPORATION

Inventor： Keisuke UMEZU ,  Hiroki NAKATANI

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

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.