公开(公告)号：US20190188611A1

公开(公告)日：2019-06-20

申请号：US15841662

申请日：2017-12-14

Applicant: Business Objects Software Limited

Inventor： Ying Wu ,  Paul Pallath ,  Paul O'Hara

IPC: G06Q10/04 ,  G06Q30/02 ,  G06K9/62 ,  G06N5/02 ,  G06N5/04 ,  G06F17/18

CPC classification number: G06Q10/04 ,  G06F17/18 ,  G06K9/6256 ,  G06N5/02 ,  G06N5/04 ,  G06N20/20 ,  G06Q10/00 ,  G06Q30/0202

Abstract: A method includes receiving training data including sequential data, determining a plurality of future time points, generating a first prediction by applying a first forecasting algorithm to the training data, generating a second prediction by applying a second forecasting algorithm to the training data, extracting predicted values from the first prediction and the second prediction that corresponds to a future time point of the plurality of future time points, applying a regression model in sequence on each of the plurality of future time points to generate a final predicted value of each of the plurality of future time points, and outputting the final predicted values of the plurality of future time points.

公开(公告)号：US11037096B2

公开(公告)日：2021-06-15

申请号：US15856814

申请日：2017-12-28

Applicant: Business Objects Software Limited

Inventor： Paul O'Hara ,  Ying Wu ,  Paul Pallath ,  Malte Christian Kaufmann ,  Orla Cullen

IPC: G06Q10/08 ,  G06N7/00

Abstract: A method includes receiving a plurality of items, grouping the plurality of items into a plurality of clusters, where each of the plurality of clusters comprises items having similar features to one another, applying a classification model to each cluster to predict whether each item of a cluster will be delivered on time or delivered late, applying a regression model that determines an expected measure of tardiness of each item predicted to be delivered late, and outputting a delivery date prediction for each item predicted to be delivered late based on the expected measure of tardiness of the item.

公开(公告)号：US20190205828A1

公开(公告)日：2019-07-04

申请号：US15856814

申请日：2017-12-28

Applicant: Business Objects Software Limited

Inventor： Paul O'Hara ,  Ying Wu ,  Paul Pallath ,  Malte Christian Kaufmann ,  Orla Cullen

IPC: G06Q10/08 ,  G06N7/00

CPC classification number: G06Q10/0833 ,  G06N7/005

Abstract: A method includes receiving a plurality of items, grouping the plurality of items into a plurality of clusters, where each of the plurality of clusters comprises items having similar features to one another, applying a classification model to each cluster to predict whether each item of a cluster will be delivered on time or delivered late, applying a regression model that determines an expected measure of tardiness of each item predicted to be delivered late, and outputting a delivery date prediction for each item predicted to be delivered late based on the expected measure of tardiness of the item.